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Data Analyst with Python

Gain the career-building Python skills you need to succeed as a data analyst. No coding experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll also gain experience working with real-world datasets, including data from Walmart sales and data about global food consumption, to grow your data manipulation and exploratory data analysis skills, before moving on to learn the statistics skills you'll need to perform hypothesis testing. Start this track, 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 Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

4 hours

Hillary Green-Lerman Headshot

Hillary Green-Lerman

Lead Data Scientist, Looker

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.

4 hours

Allen Downey Headshot

Allen Downey

Professor, Olin College

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

Content Developer, 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

Content Developer, DataCamp

Instructors