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 hoursHugo Bowne-Anderson
Data Scientist at DataCamp
Python
Intermediate PythonLevel up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
4 hours
Hugo Bowne-Anderson
Data Scientist at DataCamp
Python
Investigating Netflix Movies and Guest Stars in The OfficeApply 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
Justin is a Workspace Content Developer at DataCamp. He holds ...
Python
Data Manipulation with pandasLearn how to import and clean data, calculate statistics, and create visualizations with pandas.
4 hours
Richie Cotton
Data Evangelist at DataCamp
Python
Joining Data with pandasLearn to combine data from multiple tables by joining data together using pandas.
4 hours
Aaren Stubberfield
Manager, Supply Chain Analytics @ Ingredion Incorporated
Python
Introduction to Statistics in PythonGrow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
4 hours
Maggie Matsui
Curriculum Manager at DataCamp
Python
The GitHub History of the Scala LanguageFind the true Scala experts by exploring its development history in Git and GitHub.
2 hours
Anita Sarma
Associate Professor at Oregon State University
Python
Introduction to Data Visualization with MatplotlibLearn how to create, customize, and share data visualizations using Matplotlib.
4 hours
Ariel Rokem
Senior Data Scientist, University of Washington
Python
Introduction to Data Visualization with SeabornLearn how to create informative and attractive visualizations in Python using the Seaborn library.
4 hours
DataCamp Content Creator
Course Instructor
Python
Introduction to NumPyMaster your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
4 hours
Izzy Weber
Curriculum Manager, DataCamp
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
Data Scientist at DataCamp
Python
The Android App Market on Google PlayLoad, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
2 hours
Lavanya Gupta
Machine Learning Engineer at PropTiger.com
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
Data Scientist at DataCamp
Python
Intermediate Data Visualization with SeabornUse Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
4 hours
Chris Moffitt
Creator of Practical Business Python
Theory
Data Communication ConceptsNo 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
Curriculum Manager at DataCamp
Python
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
2 hours
Rasmus Bååth
Data Science Lead at castle.io
Python
Introduction to Importing Data in PythonLearn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
3 hours
Hugo Bowne-Anderson
Data Scientist at DataCamp
Python
Intermediate Importing Data in PythonImprove your Python data importing skills and learn to work with web and API data.
2 hours
Hugo Bowne-Anderson
Data Scientist at DataCamp
Python
Cleaning Data in PythonLearn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
4 hours
Adel Nehme
Content Developer @ DataCamp
Python
Working with Dates and Times in PythonLearn how to work with dates and times in Python.
4 hours
DataCamp Content Creator
Course Instructor
Python
Writing Functions in PythonLearn to use best practices to write maintainable, reusable, complex functions with good documentation.
4 hours
Shayne Miel
Director of Software Engineering @ American Efficient
Python
Exploratory Data Analysis in PythonLearn how to explore, visualize, and extract insights from data.
4 hours
Allen Downey
Professor, Olin College
Python
Analyzing Police Activity with pandasExplore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
4 hours
Kevin Markham
Founder of Data School
Python
Introduction to Regression with statsmodels in PythonPredict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
4 hours
Maarten Van den Broeck
Senior Content Developer at DataCamp
Python
Sampling in PythonLearn 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
Curriculum Manager, DataCamp
Python
Hypothesis Testing in PythonLearn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
4 hours
James Chapman
Curriculum Manager, DataCamp
Python
Dr. Semmelweis and the Discovery of HandwashingReanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
2 hours
Rasmus Bååth
Data Science Lead at castle.io
Python
Supervised Learning with scikit-learnGrow 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
Analytics and Data Science Curriculum Manager, DataCamp
Python
Predicting Credit Card ApprovalsBuild a machine learning model to predict if a credit card application will get approved.
2 hours
Sayak Paul
Machine Learning Engineer at Carted
Python
Unsupervised Learning in PythonLearn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
4 hours
Benjamin Wilson
Director of Research at lateral.io
Python
Machine Learning with Tree-Based Models in PythonIn this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.