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Data Analyst with Python

Start your journey to becoming a data analyst using Python - one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.  You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills.  As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing.  Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.

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Loved by learners at thousands of companies

1
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

2
Python
Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

3
Python
Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

4
Python
Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

4 hours

Aaren Stubberfield Headshot

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

5
Python
Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours

Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

6
Python
Introduction to Data Visualization with Seaborn

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours

DataCamp Content Creator

Course Instructor

7
Python
Data Manipulation with Python
8
Python
Importing & Cleaning Data with Python
9
Python
Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

10
Python
Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

11
Python
Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData Scientist at DataCampSee Hugo Bowne-Anderson's Portfolio
  • Richie Cotton Headshot
    Richie CottonData Evangelist at DataCampSee Richie Cotton's Portfolio
  • Maggie Matsui Headshot
    Maggie MatsuiCurriculum Manager at DataCampSee Maggie Matsui's Portfolio
  • Aaren Stubberfield Headshot
    Aaren StubberfieldManager, Supply Chain Analytics @ Ingredion IncorporatedSee Aaren Stubberfield's Portfolio