Pay as you go
- Maximum flexibility to learn at your own pace.
- Cancel anytime.
Get access to classroom immediately on enrollment
Learn to use Anaconda to manage packages and environments for use with Python.
Learn to use this open-source web application to combine explanatory text, math equations, code and visualizations in one sharable document.
Learn about the keys steps of the data analysis process and investigate multiple datasets using Python and Pandas.
Perform the entire data analysis process on a dataset and learn to use NumPy and Pandas to wrangle, explore, analyze and visualize data.
Learn about how to carry out analysis outside Jupyter notebook using IPython or the command line interface.
In this project, you’ll choose one of Udacity’s curated datasets and investigate it using NumPy and pandas. You’ll complete the entire data analysis process, starting by posing a question and finishing by sharing your findings.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Curriculum Lead at Udacity
Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.
Pay as you go