Data Analysis for Beginners

Nonfiction

eAudiobook

Provider: hoopla

Details

PUBLISHED
[United States] : Findaway Voices, 2025
Made available through hoopla
EDITION
Unabridged
DESCRIPTION

1 online resource (1 audio file (2hr., 58 min.)) : digital

ISBN/ISSN
9798347980802 MWT17917208, 17917208
LANGUAGE
English
NOTES

Read by Ray Collins

Embark on a transformative journey into the world of data analysis with Daniel Garfield as your guide in "Data Analysis for Beginners." In this comprehensive and accessible guide, Daniel demystifies the complexities of data analysis, making it an engaging and empowering experience for readers at all skill levels. Have you ever wondered how data can drive decision-making in business, science, or everyday life? Daniel begins by introducing the fundamental concepts of data analysis, breaking down the barriers that often intimidate beginners. From the basics of statistical analysis to the application of machine learning, Daniel ensures that every reader can grasp the essentials. Discover the tools of the trade, from familiar ones like Excel to more powerful platforms like Python and R. Learn the art of collecting and organizing data, recognizing the importance of clean and structured datasets. Through hands-on examples, Daniel walks you through the steps of setting up your data environment, empowering you to tackle your own data challenges. Uncover the power of exploratory data analysis (EDA) as you dive into the world of data visualization, identifying patterns and trends that lie hidden in your datasets. Daniel emphasizes practical applications, providing insights into how businesses leverage machine learning and guiding you through the process of building your first data analysis project. "Data Analysis for Beginners" is your key to unlocking the secrets hidden within the numbers. With Daniel Garfield as your mentor, embark on a journey that will transform the way you see and interpret data. Start your data analysis adventure today!

Mode of access: World Wide Web

Additional Credits