Learning Path

Become a Python Data Scientist

5 Steps

Difficulty Level: beginner

Build on your your Python skills and enter the world of data science

Learning Outcomes

Get a solid foundation in data science and learn the skills you'll need
Learn Pandas, a popular package for data analysis and data manipulation
Get an overview of the popular tools used in data science
Your first project: a full mashup of data science practices—everything from collection to exploration of the data, while also covering visualization and testing of hypotheses
Your second project: building a recommender system, like those used by Netfix and Amazon

Learn Basic Data Science Practices and Techniques
Data Science: An Introduction
Type: Text
Get an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming.
Learn Pandas
The Python Book
Type: Text
Pandas is THE essential library for data science in Python. Learn how to read, merge, filter, and any data set analyse.
Learn the Data Science Tools
Data Science: Tools & Skills
Type: Text
Learn some of the tools most used in data science, such Pandas and PySpark, as well as a look at some of the skills you'll need as a data scientist.
Project: Analyze and Chart Pandemic Data
Using Data Science to Chart a Pandemic
Type: Text
Put into practice everything from collection to exploration of the data, and also covering visualization and testing of hypotheses. We’ll learn a lot not only about the process but also about the outbreak itself.
Project: Build a real recommender system
Building and Analyzing Recommender Systems with the Surprise Library
Type: Text
Build your own recommender system just like Netlfix and Amazon use