7 Free Books to Master Data

Hey friends,

Data literacy is an essential skill and now a standard requirement for many careers. Whether in consulting or project management, the ability to understand data is critical yet learning it can be expensive. The good news is that there are free resources available online. Below is a list of 7 high quality books covering SQL, Python, and Data Science to get started.

SQL

1. SQL Notes for Professionals by GoalKicker.com: Beginner friendly SQL code notes

2. Essential SQL by Stack Overflow: Beginner to advanced SQL topics

3. SQL Learning by Stack Overflow: SQL Syntax and functions to handle data

Python

4. Python for Everybody by Dr. Charles Severance: Beginner friendly guide even for those with no programming background

5. Python Data Science Handbook by Jake VanderPlas: Free trial to learn IPython, NumPy, Pandas, Matplotlib, Scikit-Learn

Data Science

6. Pandas: Powerful Python Data Analysis Toolkit by Wes McKinney: Everything about Pandas to manage, manipulate, and analyze data.

7. Think Stats by Allen B. Downey: Learn Probability and Statistics with Python

Talk Soon,

Agatha

✍️ Quote of the Week

“What you do today can improve all your tomorrows.” - Ralph Marston

Want to learn more from me? Check out 👇

• 📚 Resources → Data roadmap and helpful links

• 📄 Data Analyst Resume → Free ATS friendly resume template (make a copy in google docs to edit)

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