Top 5 books for beginners in Data Analysis and Data Science
- Vicky Costa
- 14 de mar.
- 2 min de leitura
If you're just starting out in the field of data analysis or want to take that step towards data science, a good selection of books can make all the difference. Whether you're interested in how to visualize data effectively, learning to program or understanding the more advanced concepts of machine learning, the books below will help you understand the concepts and get your hands dirty. I've also included links to the Portuguese and English versions, so you can choose the one you prefer. Let's get into it, shall we?
1 - What's Your Problem?: To Solve Your Toughest Problems, Change the Problems You Solve | Thomas Wedell-Wedellsborg
Before you go out collecting data and applying models, it's important to understand the problem you're trying to solve. This book helps you refine your approach and think more strategically.
2 - ColorWise: A Data Storyteller's Guide to the Intentional Use of Color | Kate Strachnyi
Who doesn't love a good colorful graph? This book will teach you how to use color in such a way that the visualization of your data is clear and effective. No confusing graphs, the aim here is to communicate well!
3 - Storytelling with Data: A Data Visualization Guide for Business Professionals | Cole Nussbaumer Knaflic
Here, the idea is to turn data into a story. The book helps you tell a clear and engaging narrative with graphs and numbers, which is essential when you need to present data in an impactful way.
4 - The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win | Gene Kim, Kevin Behr, George Spafford
Although more focused on IT, this book brings important lessons about collaboration and processes, something that also applies to data science, where team integration and good practices are fundamental.
5 - Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter | Wes McKinney
Python is the most popular language for data analysis. This book will help you use libraries such as Pandas and NumPy to manipulate and analyze large volumes of data in a simple and practical way.
These books will help you build a solid foundation in data analysis and data science, offering practical resources to solve real problems. No matter where you are in your journey, these books will give you the tools and knowledge you need to grow in the field! I think this is a great selection of books for those who are just starting out and want to acquire a good knowledge base.
For these and more tips, keep following my blog! See you next time!
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