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Data Scientist with Python

Learn Python for data science and gain the career-building skills you need to succeed as a data scientist, from data manipulation to machine learning! In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Starting with the Python essentials for data science, you’ll work through interactive exercises that test your abilities. You’ll get hands-on with some of the most popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more. As you progress, you’ll work with real-world datasets to learn the statistical and machine learning techniques you need to perform hypothesis testing and build predictive models. You’ll also get an introduction to supervised learning with scikit-learn and apply your skills to various projects. Start this track, grow your data science skills, and begin your journey to becoming a confident data scientist with Python.

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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
Investigating Netflix Movies and Guest Stars in The Office

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

2 hours

Justin Saddlemyer Headshot

Justin Saddlemyer

Justin is a Workspace Content Developer at DataCamp. He holds ...

4
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

5
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

6
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

7
Python
What and Where are the World's Oldest Businesses

Use joining techniques to discover the oldest businesses in the world.

2 hours

Izzy Weber Headshot

Izzy Weber

Data Coach at iO-Sphere

8
Python
Introduction to Data Visualization with Matplotlib

Learn how to create, customize, and share data visualizations using Matplotlib.

4 hours

Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

9
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

10
Python
Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

11
Python
The Android App Market on Google Play

Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.

2 hours

Lavanya Gupta Headshot

Lavanya Gupta

Machine Learning Engineer at PropTiger.com

12
Python
Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

13
Python
Intermediate Data Visualization with Seaborn

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours

Chris Moffitt Headshot

Chris Moffitt

Creator of Practical Business Python

14
Python
A Visual History of Nobel Prize Winners

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

2 hours

Rasmus Bååth Headshot

Rasmus Bååth

Data Science Lead at castle.io

15
Python
Data Manipulation with Python
16
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

17
Python
Working with Categorical Data in Python

Learn how to manipulate and visualize categorical data using pandas and seaborn.

4 hours

Kasey Jones Headshot

Kasey Jones

Research Data Scientist

18
Theory
Data Communication Concepts

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

3 hours

Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

19
Python
Introduction to Importing Data in Python

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

20
Python
Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours

Adel Nehme Headshot

Adel Nehme

Content Developer @ DataCamp

21
Python
Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours

DataCamp Content Creator

Course Instructor

22
Python
Importing & Cleaning Data with Python
23
Python
Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours

Shayne Miel Headshot

Shayne Miel

Director of Software Engineering @ American Efficient

24
Python
Python Programming
25
Python
Introduction to Regression with statsmodels in Python

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

4 hours

Maarten Van den Broeck Headshot

Maarten Van den Broeck

Senior Content Developer at DataCamp

26
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

27
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

28
Python
Dr. Semmelweis and the Discovery of Handwashing

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

2 hours

Rasmus Bååth Headshot

Rasmus Bååth

Data Science Lead at castle.io

29
Python
Supervised Learning with scikit-learn

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

30
Python
Predicting Credit Card Approvals

Build a machine learning model to predict if a credit card application will get approved.

2 hours

Sayak Paul Headshot

Sayak Paul

Machine Learning Engineer at Carted

31
Python
Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours

Benjamin Wilson Headshot

Benjamin Wilson

Director of Research at lateral.io

32
Python
Machine Learning with Tree-Based Models in Python

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hours

Elie Kawerk Headshot

Elie Kawerk

Senior Data Scientist

Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData Scientist at DataCampSee Profile
  • Justin Saddlemyer Headshot
    Justin SaddlemyerSee Profile
  • Richie Cotton Headshot
    Richie CottonData Evangelist at DataCampSee Profile
  • Maggie Matsui Headshot
    Maggie MatsuiCurriculum Manager at DataCampSee Profile

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