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
Data Scientist at DataCamp
Hugo is a data scientist, educator, writer and podcaster formerly at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC. If you want to know what he likes to talk about, definitely check out DataFramed, the DataCamp podcast, which he hosted and produced.
Courses led by Hugo Bowne-Anderson
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
4 Hours
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
3 Hours
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
4 Hours
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
3 Hours
Improve your Python data importing skills and learn to work with web and API data.
2 Hours
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
4 Hours
Projects led by Hugo Bowne-Anderson
Use web scraping and NLP to find the most frequent words in one of two pieces of classic literature: Herman Melville's novel, Moby Dick, or Peter Pan by J. M. Barrie.
GuidedImporting & Cleaning DataCase Studies