Practical Data Science with Python 3: Synthesizing Actionable Insights from Data (Varga Ervin)(Paperback)

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data (Varga Ervin)(Paperback)

Chapter 1. Introduction to Data ScienceNo of pages: 10This chapter introduces the reader to data science, and describes the major stages of working with data (collect, explore, preprocess, visualize, predict, and infer knowledge). It sets the common expectations what constitutes a data science

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Rodrigues Joanne)(Paperback)

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy

Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Pajankar Ashwin)(Paperback)

Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python

Practical Data Science with R (Zumel Nina)(Paperback)

Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully

Python for Data Science: The Ultimate Beginners' Guide to Learning Python Data Science Step by Step (Williams Ethan)(Paperback)

Tableau Your Data!: Fast and Easy Visual Analysis with Tableau Software (Murray Daniel G.)(Paperback)

Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced

Python for Data Science for Dummies (Mueller John Paul)(Paperback)

Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming

Humanities Data Analysis: Case Studies with Python (Karsdorp Folgert)(Pevná vazba)

A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials

Data Science with Python and Dask (Daniel Jesse)(Paperback)

Summary Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your

Visual Data Storytelling with Tableau (Ryan Lindy)(Paperback)

Tell Insightful, Actionable Business Stories with Tableau, the World's Leading Data Visualization Tool Visual Data Storytelling with Tableau brings together knowledge, context, and hands-on skills for telling powerful, actionable data stories with Tableau. This full-color guide shows how to

Python Basics: A Practical Introduction to Python 3 (Bader Dan)(Paperback)

Make the Leap From Beginner to Intermediate in Python...Python Basics: A Practical Introduction to Python 3Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample ProjectsWhat should you learn about Python in the beginning to get a strong foundation? With Python Basics,

Thinking with Data: How to Turn Information Into Insights (Shron Max)(Paperback)

Learn Quantum Computing with Python and Q#: A Hands-On Approach (Kaiser Sarah C.)(Paperback)

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum

Beginning Python: From Novice to Professional (Hetland Magnus Lie)(Paperback)

Gain a fundamental understanding of Python's syntax and features with this up-to-date introduction and practical reference. Covering a wide array of Python-related programming topics, including addressing language internals, database integration, network programming, and web services, you'll be

Google Data Studio for Beginners: Start Making Your Data Actionable (Kemp Grant)(Paperback)

Create effective and impactful dashboards within your organization and build engaging content by learning to use Google's Data Studio. This book teaches you how to use Data Studio to release your locked up data and turn it into beautiful, actionable, and shareable reports that can be consumed by

Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues (Baka Benjamin)(Paperback)

Implement classic and functional data structures and algorithms using Python Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o

Python Scripting for Arcgis Pro (Zandbergen Paul A.)(Paperback)

The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not. Python Scripting for ArcGIS Pro starts with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial

Data Science for Business With R (Saltz Jeffrey S.)(Paperback / softback)

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

Handling Qualitative Data: A Practical Guide (Richards Lyn)(Paperback)

Starting with what's special about qualitative data, this book covers more than simply data collection. It guides you through skilfully, thoughtfully, and ethically designing a project, managing data, exploring records, creating and justifying sound theories, and reporting results in ways that will

Bioinformatics Programming Using Python: Practical Programming for Biological Data (Model Mitchell L.)(Paperback)

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using

Responsible Data Science (Bruce Peter C.)(Paperback)

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of 'Black box' algorithms that are difficult

Survival Analysis Using SAS: A Practical Guide (Allison Paul D.)(Paperback)

Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book,

Data Analysis with Mplus (Geiser Christian)(Paperback)

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to

Data Analytics with Hadoop: An Introduction for Data Scientists (Bengfort Benjamin)(Paperback)

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular