Learning Path

Become a Python Data Scientist

7 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

Steps

  1. Learn Basic Data Science Practices and Techniques
  2. Learn Pandas
  3. Assessment: Pandas Fundamentals
  4. Learn the Data Science Tools
  5. Project: Analyze and Chart Pandemic Data
  6. Project: Build a real recommender system
  7. Assessment: Pandas Intermediate

  1. 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.

  2. 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.

  3. Assessment: Pandas Fundamentals

    Data Science Pandas Fundamentals

    Type: Assessment

    Test the basic Pandas skills you've learned so far.

  4. 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.

  5. 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.

  6. 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

  7. Assessment: Pandas Intermediate

    Data Science Pandas Intermediate

    Type: Assessment

    Finish off your path by getting 100% on this Intermediate Pandas Assessment.