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Data Analysis for Beginners: Part 1. A Hands-On Journey into Analysis and Visualization.

Durée
3H 57min
Langues
Anglais
Format
Catégorie

Documents et essais

Are you fascinated by the world of data analysis but unsure where to begin? Look no further than "Data Analysis for Beginners: Unleashing the Power of Data." This comprehensive guide is designed to take you on a step-by-step journey into the captivating realm of data analysis and visualization.

In this book, you'll embark on an enlightening exploration of the fundamentals, providing you with a solid foundation to build upon. Starting with the basics, you'll learn essential concepts such as data cleaning, manipulation, and exploration. With practical examples and real-world scenarios, you'll gain a deep understanding of how to handle and make sense of raw data.

As your knowledge expands, you'll dive into the exciting world of data visualization. Discover how to transform complex information into visually appealing and easily understandable charts, graphs, and dashboards. Unlock the power of visualization tools like Python, R, and Tableau, and learn to create compelling visual representations that reveal insights and patterns hidden within the data.

But this book goes beyond just visualization. You'll also delve into the realm of statistical analysis, uncovering the techniques and methods used to draw meaningful conclusions from data. Explore statistical measures, hypothesis testing, and correlation analysis, equipping you with the tools to make data-driven decisions and uncover valuable insights.

"Data Analysis for Beginners" is the ultimate guide for anyone aspiring to become proficient in data analysis. Whether you're a student, professional, or simply an inquisitive mind, this book provides the tools and knowledge to unlock the transformative power of data. Get ready to embark on an exciting journey into the world of data analysis and unleash the full potential of your analytical skills

© 2025 Daniel Garfield (Livre audio ): 9798347763092

Date de sortie

Livre audio : 28 janvier 2025

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