data science for business foster provost

This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Objev podobné jako Data Science for Business - Foster Provost

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

Objev podobné jako Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software ... Unknown localization key: "more"

Objev podobné jako Data Analytics for Business - Wolfgang Garn

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Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess” decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"

Objev podobné jako Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the ... Unknown localization key: "more"

Objev podobné jako Applied Machine Learning for Data Science Practitioners - Vidya Subramanian

Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with ... Unknown localization key: "more"

Objev podobné jako R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basicsReview what you've already learned or pick up key skillsEffectively work with data and provide accessible materials to othersJog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

Objev podobné jako Data Science Essentials For Dummies - Lillian Pierson

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

Objev podobné jako Fast Python for Data Science - Tiago Antao

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

Objev podobné jako Analysing Quantitative Data for Business and Management Students - Charles A Scherbaum, Kristen M. Shockley

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It''s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You''ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Objev podobné jako Causal Inference for Data Science - Aleix de Villa

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"

Objev podobné jako Mastering Marketing Data Science - Iain Brown

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Objev podobné jako Hands-On APIs for AI and Data Science - Ryan Day

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Objev podobné jako Data Science and Machine Learning for Non-Programmers - Dothang Truong

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

Objev podobné jako Foundations of Data Science with Python - John M. Shea

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of ... Unknown localization key: "more"

Objev podobné jako The Data Science Handbook - Field Cady

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors'' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

Objev podobné jako Data Science in Context - Peter Norvig, Alfred Z. Spector, Jeannette M. Wing, Chris Wiggins

Your data is your business. Is it supporting your strategy?Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you''re storing, integrating, and gaining value from that information, your company will be at risk—and fall behind.If you read nothing else on setting a data strategy in your organization, read these 10 articles. We''ve combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world.This book will inspire you to:Quantify the benefits of a digital transformationDiscover opportunities for innovative, data-backed products and servicesBetter understand and improve your customer experienceBreak down silos and share higher-quality information across your organizationIdentify areas susceptible to cyberattacks and data breachesEnsure metrics aren’t overshadowing strategic objectivesHBR''s 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR''s 10 Must Reads series focuses on the core topics that every ... Unknown localization key: "more"

Objev podobné jako HBR's 10 Must Reads on Data Strategy - Satya Nadella, Harvard Business Review, Tsedal Neeley, Thomas H. Davenport, Marco Iansiti

Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.

Objev podobné jako Linear Algebra for Data Science with Python - John M. Shea

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

Objev podobné jako Ultimate Data Science Programming in Python - Saurabh Chandrakar

Be surprised by the astonishing science of forces, with Sabrina Rose, AKA Science Girl, the internet''s most inspiring curator of facts and observations of our wonderful world - making it easy for all readers to come to love science!Surprised by Science: Forces are Fantastic brings an attention-grabbing and accessible set of facts about forces and physics to life! Doing what she''s famous for online, Sabrina Rose dives into the most surprising details of the world of forces to explore the science at work. From black holes to gravity in space; from magnets in navigation to friction in storms - this series is perfect for inquisitive children age 7 and up, and all fans of Science Girl.Contents: Phenomenal Forces / The Story of Gravity / Gravity in Space / Forces on the Move / Something''s Up! / Friction Fascination / Earth is a Giant Magnet / Make Sparks Fly / Forces of Nature / Incredible Inventions / Explosive Science / Mysterious Forces at Play / Surprised by Scientific DiscoveriesSurprised by Science is a series of books that takes the inspiring communication and research skills of Science Girl''s hugely popular platform and distills it on the page, with funny and engaging illustrations ... Unknown localization key: "more"

Objev podobné jako Surprised by Science: Forces are Fantastic! - Sabrina Rose Science Girl

Build a successful career in business analysis When it comes to doing good business, change is a very good thing. And effective business analysts are at the heart of identifying opportunities for growth and implementing the solutions that can transform an organization’s foundation—and ultimately increase its profitability. Whether you’re an aspiring business analysis professional or a seasoned analyst looking for the latest techniques and approaches, Business Analysis For Dummies helps you discover the newest tips and tricks for turning knowledge into the changes that have a real and meaningful impact on business and drive your organization towards value delivery.  Identify areas for growth and create solutions Learn how to bring people together to collaborate effectively Discover ways to better understand and serve your customers  See how business analysis works in the real world   Learn the technology to make the job easier  Find business solutions to improve your organization’s performance  Understand how to dig deeply into your organization’s data, processes, and business rules Dummies makes the path to business success clear. Start here to turn your love of business analysis into the catalyst that makes a difference. Â

Objev podobné jako Business Analysis For Dummies - Alison Cox

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Objev podobné jako Modern Data Science with R - Benjamin S. Baumer, Nicholas J. Horton, Daniel T. Kaplan

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making.

Objev podobné jako Learn Data Science from Scratch - Pratheerth Padman

Develop an understanding of economics applied to the world of business. Economics for Business, 9th Edition is the ideal textbook for students studying Economics as part of a Business Studies degree or diploma. Clear, engaging, and packed with useful features, the text introduces the key principles of economics, illustrating how they can be used to understand real business problems and aspects of the business environment. The new, thoroughly updated edition reflects recent events that have shaken the business world. These include the Covid-19 pandemic, Brexit, and rampant inflation caused first by supply-chain problems after global lockdowns and then by the surge in energy and food prices following the invasion of Ukraine. Each chapter includes topical examples, news stories, and case studies from real businesses to explain and illustrate key economic concepts, as well as activities, questions, and useful summaries to help you check your understanding. Access the free student website which accompanies this book for additional learning support, including animated explainers of key economic models, extra case studies and answers to in-text questions. Pair this text with MyLab®Economics MyLab® is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools ... Unknown localization key: "more"

Objev podobné jako Economics for Business - Dean Garratt, Jon Guest, John Sloman, Elizabeth Jones

Become an Instagram aficionado and grow your business online Instagram For Business For Dummies shows you how you can tap into the social media platform with over 1 billion active users and the highest brand engagement of any social app out there. Businesses of all sizes have discovered how successful they can be when they take advantage of Instagram's powerful business tools—including shoppable posts, devoted business profiles, and advanced analytics. This beginner-friendly book helps you take advantage of this great opportunity to connect with a broader audience, tell a gripping story, and make your business an integral part of customers' lives. This new edition covers all of Instagram's latest features, including verified accounts, Broadcast Channels, and integration with Threads. You'll also learn everything you need to know about establishing brand partnerships with influencers, making the most of hashtags, and creating content that will get you noticed. Presented in straightforward language by Instagram and marketing gurus, this book will take you from setting up your account and profile to winning new business on Instagram. Set up your Instagram business account and link your sales to the Instagram Shopping featureUse analytics to understand your engagement and create better contentLearn how to effectively ... Unknown localization key: "more"

Objev podobné jako Instagram For Business For Dummies - Corey Walker, Eric Butow

Tony Buzan knows more than a little about Mind Maps – after all, he did invent them! Often referred to as the ‘the Swiss-army knife for the brain’, Mind Maps are a ground-breaking, note-taking and mind-organising technique that has already revolutionised the lives of many millions of people around the world and taken the educational world by storm. Now Tony Buzan is sharing the powerful techniques of mind mapping with the business world to help business professionals everywhere revolutionise the way they think and practise. Mind Maps for Business is the very first and only book on mind mapping that has been written by Tony Buzan specifically for a business audience. No matter how big or small the business you work in; no matter if you’re an employer or an employee; no matter what your role is, you’ll find the benefits of using mind maps to help you think, organise, plan and control are vast: Accelerate your productivity to levels you never thought possible. Generate exciting new possibilities for growth and expansion. Make meetings, discussions and forums really productive and useful. Negotiate, talk and consult more constructively and effectively. Be more focussed, more organised and much smarter. Unleash your amazing ... Unknown localization key: "more"

Objev podobné jako Mind Maps for Business - Tony Buzan, Chris Griffiths

Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.

Objev podobné jako Statistical Analytics for Health Data Science with SAS and R Set - Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

While data science is powering most modern organisations its technical intricacies often remain confined to a select few.This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman’s terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies.Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.

Objev podobné jako Data Science Foundations - Ian Huke, Stephen Mariadas

If you want to be a successful leader in today’s business world, you need to think like an activist. If you want to be a successful leader in today’s business world, you need to think like an activist. This urgent and essential book shows how to do just that. The Activist Leader argues that the world needs a new kind of business leader, one that thinks differently about their role in today’s challenges. From climate change to inequality, the major crises facing society have become critical issues for business, and the world expects companies to step up. This is a pragmatic book. Jon Miller and Lucy Parker show what it takes to do business in these challenging times, taking a close look at companies such as Apple, Mastercard, Nestle, Maersk, JP Morgan Chase and Walmart. Most people feel powerless when they look at the problems facing the world – but if you’re a leader in a big business, you’re not powerless. Whether you’re a top executive or earlier in your working life, this book shows that thinking like an activist can have a transformative impact – for yourself, for your businesses, and for broader society.

Objev podobné jako The Activist Leader: A New Mindset for Doing Business - Jon Miller, Lucy Parker

This book describes the framework of the next generation of Business Information Services Library, BiSL®. BiSL Next is a public domain standard for business information management with guiding principles, good practices and practical templates. It offers guidance for digitally engaged business leaders and those who collaborate with them, with the ultimate goal to improve business performance through better use of information and technology.Twelve elements - four drivers, four domains and four perspectives - are the basis of the guidance in BiSL Next. Target audience of this book are business managers, business information managers, business analysts, CIO’s and IT managers, as well as consultants in this field.While describing the twelve elements, the book offers them insight in the best way to manage, execute and profit from business information management in their enterprise. The book is also the official literature for the BiSL® Next Foundation exam.

Objev podobné jako BiSL Next - A Framework for Business Information Management

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow. "Barrow and Shabab''s Statistics for Economics, Accounting and Business Studies textbook has an excellent mix of application, intuition and statistical theory that is suitable for students with and without prior knowledge in statistics." Dr Robert Riegler, Senior Lecturer in Economics, Aston University Statistics for Economics, Accounting, and Business Studies,8th edition by Michael Barrow and C. Rashaad Shabab, is a user-friendly introduction to the subject, aimed at students studying economics, accountancy, finance, and business. This comprehensive text applies a wide variety of statistical tools and techniques to real-world situations, with numerous examples and exercises integrated throughout to help you build up your knowledge and skills. Easy to follow and without requiring any prior knowledge of Statistics, this book will guide you through the essential principles of the field and provide a thorough analysis of statistical concepts and methods. Key features in this new edition include: A new chapter on Data Visualisation, reflecting the growing importance of this topic Application of statistics to issues of contemporary interest, such as the impact of global events like Covid-19, development economics, tourism, education and working hours A ... Unknown localization key: "more"

Objev podobné jako Statistics for Economics, Accounting and Business Studies - C. Rashaad Shabab, Michael Barrow

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics

A practical field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.In How to Lead in Data Science you''ll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company''s data strategy. You''ll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away.

Objev podobné jako How to Lead in Data Science - Jike Chong, Yue Chang

Exam board: ISEB Level: 13+ CE and KS3 Subject: Science First teaching: September 2021 First exams: November 2022With more than 30 years'' experience teaching Science, Ron Pickering brings his renowned expertise and attention to detail to the Science series for Common Entrance and Key Stage 3. Trust Ron to guide you and your pupils through the ISEB CE 13+ Science specification and motivate them to excel as they think and work as scientists.· Cover all the content for Biology, Chemistry and Physics in one book: More convenient and cost-effective for teachers and pupils.· Expand your pupils'' understanding of the role of key scientists in history: Information on the contributions made to our scientific understanding by scientists of the past including Dmitri Mendeléev, Mary Anning, Sir Isaac Newton and Mary Seacole.· Encourage your pupils to see Science in a wider context: Cross-curricular links with Mathematics, Geography, Environmental Science and PSHE.· Develop key scientific skills for the exams and beyond: Investigations help pupils to explore the depth of their scientific understanding, including how to record observations, analyse and present data, and how to interpret results and draw conclusions.· Improve exam technique: End-of-topic questions reflect the style of the ISEB CE 13+ examination ... Unknown localization key: "more"

Objev podobné jako Common Entrance 13+ Science for ISEB CE and KS3 - Ron Pickering

Essential Economics for Business offers students a concise, accessible and engaging introduction to the key principles of micro and macroeconomics, in addition to broader business-related topics, including business organisation and strategy. Numerous cases and examples throughout the text illustrate how economics can be used to understand specific business problems or aspects of the business environment, from economic growth, to levels of business investment, interest rates, employment issues, the prices firms charge, the rise of online shopping and Brexit. This is the ideal text for students taking a module including economics on any business or management degree or diploma course.

Objev podobné jako Essential Economics for Business - John Sloman, Elizabeth Jones

"The worked examples and guided questions are invaluable, and are a particular strength of this text, as they help to prepare the students to tackle the practice questions. Having exam-style questions (at the end) is another very good feature of this book. All of the examples and questions use appropriate and relevant business-related scenarios... I am confident that this book will achieve the aim of helping A/AS Business students develop their maths skills and enhance their understanding of the subject." Michaela Cottee, Principal Lecturer in Statistics, Hertfordshire Business School. If you struggle with calculating profit or working out unit costs, this is the book for you. This textbook companion will help improve your essential maths skills for business, whichever awarding body specification you''re following. You can use it throughout your course, whenever you feel you need some extra help.- Develop your understanding of both maths and business with all worked examples and questions within a business context- Improve your confidence with a step-by-step approach to every maths skill- Measure your progress with guided and non-guided questions to see how you''re improving- Understand where you''re going wrong with full worked solutions to every question - Feel confident in expert guidance from ... Unknown localization key: "more"

Objev podobné jako Essential Maths Skills for AS/A Level Business - Charlotte Wright, Mike Pickerden

This textbook provides a comprehensive introduction for students and professionals who are studying English for business or workplace communication and covers both spoken and written English.　 Based on up-to-date research in business communication and incorporating an international range of real-world authentic texts, this book deals with the realities of communication in business today. Key features of this book include:use of English in social media that reflects recent trends in business communication;coverage of the concept of communicative competence;analysis of email communication;introduction to informal English and English for socialisation as well as goodwill messages, such as thank you or appreciation messages, which are a part of everyday interaction in the workplace; examination of persuasive messages and ways to understand such messages;an e-resources website that includes authentic examples of different workplace genres and a reference section covering relevant research studies and weblinks for readers to better understand the topics covered in each chapter.This book goes beyond the traditional coverage of business English to provide a broad and practical textbook for those studying English in a workplace setting.

Objev podobné jako English for Business Communication - Mable Chan

Written specifically for non-specialists, this textbook provides a rigorous and engaging introduction to economics in the context of the business world. Striking the perfect balance between theory and practical application, it draws on interesting real-world examples and case studies – from tech companies to football clubs – to demonstrate the relevance of key economic concepts and theories to business. Clear and insightful, it is packed with current data and innovative features to bring the subject to life for students. This edition is thoroughly updated to include coverage of topics such as market failure, austerity, international trade and Brexit.The ideal textbook for undergraduate students studying economics on business and management degrees and for use on MBA courses.New to this Edition:- Up-to-date coverage of important topics- A new appendix on the Aggregate Demand-Aggregate Supply (AD-AS) model in Chapter 9- A wealth of new case studies and examples, for example, on US trade policy, the challenges involved in the UK leaving the EU, and the money supply in IndiaAccompanying online resources for this title can be found at bloomsburyonlineresources.com/economics-for-business-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Objev podobné jako Economics for Business - Chris Mulhearn, Howard R. Vane

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging ''explore'' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.

Objev podobné jako Linear Algebra for Data Science, Machine Learning, and Signal Processing - Jeffrey A. Fessler, Raj Rao Nadakuditi

A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also ... Unknown localization key: "more"

Objev podobné jako Using Excel for Business and Financial Modelling - Danielle Stein Fairhurst

This beginner''s book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.

Objev podobné jako Dive Into Data Science - Bradford Tuckfield

Lift Vertical Ergonomic Mouse for Business SCIENTIFIC APPROACH - The science of ergonomics is an integral part of our designers’ and engineers’ process of creating a new mouse. Ergo Series mice offer more natural postures, superior ergonomic benefits, and reduced movement or muscle strain and striking form factors. MORE NATURAL POSTURE - Ergo products like Lift for Business place fingers and hands in a more natural posture, helping to relax the upper body. This leads to a quantifiable reduction in muscle activity, so work is more productive with less strain and forearm muscle fatigue. INCREASED COMFORT - Reducing muscle strain and fatigue, while adding proper hand support, leads to a greater comfort, especially during long periods or work. Ergonomically-designed products help people focus on what matters. ERGONOMICS IS ECONOMICS - Ergonomic equipment helps people work more comfortably, with higher efficiency and quality, with less downtime. It results in happier employees with lower absentee days. In short, ergonomics is good economics. Our Ergo Series can help your company become a healthier place to work. TECHNICAL SPECIFICATIONS Dimensions (H x W x D) Lift for Business: 71 x 70 x 108 mmLogi Bolt USB Receiver: 18.4 x 14.4 x 6.6 mm Weight ... Unknown localization key: "more"

Objev podobné jako Logitech Lift Vertical Ergonomic Mouse for Business, Pink

Step up your science knowledge with Step Into Science and discover the science of forces and magnets! Step Into Science: Forces and Magnets takes you on a journey of scientific discovery. With the help of a cast of funny blobby characters, you''ll find out how we use forces everyday; which force pulls objects down holes and why Earth acts like a huge magnet. Explore which materials are magnetic and discover how to test them.Colourful and quirky illustrations make these core science topics exciting and fresh to encourage interaction with the subject.Written to support the National Curriculum at Key Stage 2, each title explores key scientific topics through a combination of concise information and fun experiments. Perfect for readers aged 7+Titles in the series:ElectricityForces & MagnetsHabitatsLightPlantsRocks & SoilSoundThe Body

Objev podobné jako Step Into Science: Forces and Magnets - Peter Riley