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Data Science Tools
Data Science Tools

Data Science Tools: Comprehensive Guide to Mastering Fundamental Data Science and Statistics Techniques

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Profile Icon Mercury Learning and Information Profile Icon Christopher Greco
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zł59.99 zł200.99
eBook Aug 2024 220 pages 1st Edition
eBook
zł59.99 zł200.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Christopher Greco
Arrow right icon
zł59.99 zł200.99
eBook Aug 2024 220 pages 1st Edition
eBook
zł59.99 zł200.99
eBook
zł59.99 zł200.99

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Key benefits

  • Step-by-step instructions for using R, Excel, KNIME, and OpenOffice.
  • Comprehensive coverage of statistical tests and methods.
  • Real-world examples to apply the concepts learned.

Description

This book introduces popular data science tools and guides readers on how to use them effectively. It covers data analysis using Microsoft Excel, KNIME, R, and OpenOffice, applying statistical concepts such as confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis with real data from Federal Government sources. The course begins with the basics, including importing data and conducting various statistical tests. It progresses to specific methods for each tool, ensuring a comprehensive understanding of data analysis. Capstone exercises provide hands-on experience, reinforcing the concepts learned throughout the book. Understanding these tools and concepts is crucial for effective data analysis. This book takes readers from the basics to advanced statistical methods, combining theoretical insights with practical applications. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data analysis with popular software applications.

Who is this book for?

This book is ideal for data science enthusiasts, students, and professionals looking to enhance their skills with popular tools like R, Excel, KNIME, and OpenOffice. A basic understanding of data analysis concepts is recommended but not required, as the book provides foundational knowledge and progresses to advanced topics.

What you will learn

  • Import data using Excel, OpenOffice, R, and KNIME.
  • Conduct statistical tests and analyses.
  • Utilize specific statistical methods for each tool.
  • Create data visualizations.
  • Perform random sampling and power analysis.
  • Apply Benford's Law and create word clouds.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 01, 2024
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640325
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
tick Completed

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Product Details

Publication date : Aug 01, 2024
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781836640325
Category :
Concepts :

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Table of Contents

10 Chapters
Acknowledgments Chevron down icon Chevron up icon
Notes on Permissions Chevron down icon Chevron up icon
Chapter 1: First Steps Chevron down icon Chevron up icon
Chapter 2: Importing Data Chevron down icon Chevron up icon
Chapter 3: Statistical Tests Chevron down icon Chevron up icon
Chapter 4: More Statistical Tests Chevron down icon Chevron up icon
Chapter 5: Statistical Methods for Specific Tools Chevron down icon Chevron up icon
Chapter 6: Summary Chevron down icon Chevron up icon
Chapter 7: Supplemental Information Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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