Python for Data Science
Python has become the go-to language for machine learning and data science. This FREE two-week course will introduce learners to the fundamentals of scientific Python through a fast-paced, interactive experience. You’ll learn how to use core Python DS libraries (Pandas and Numpy) on real Airbnb data, and practice your skills with hands-on projects!
Course taught by expert instructors
Fmr. Staff Machine Learning Researcher at Twitter
Luca Belli was the Co-founder and Research Lead for Twitter's Machine learning Ethics, Transparency and Accountability (META) where he guided industry leading approaches for responsible ML practices and product changes. Previously he operated as a Data Science and Machine Learning Engineers at Conversant and WolframAlpha. His research interests lie at the intersection of feedback loops, algorithmic amplification (with a special eye on politics), and algorithmic audits. He holds a Ph.D. in Math from Tor Vergata University in Rome.
Learn and apply skills with real-world projects.
Anyone with some programming knowledge interested in becoming a Data Analyst, Data Scientist or Machine Learning Engineer.
Software Engineers skilled in programming looking for a career change into data science.
Financial Analysts, Accountants, or other professionals looking to learn Python for powerful analysis.
Comfort with Python fundamentals (as covered in CoRise Python Crash Course or elsewhere) - variables, functions, lists, loops, dictionaries
Try these prep courses first
Use Numpy to perform calculations on Airbnb listing data, and create a visualization of your analysis using Streamlit.
- File Input/Output
- Computation On Arrays
- Slicing, Indexing, and Modifying Arrays
Use Pandas to clean and preprocess your data for modeling, and package the results as another Streamlit app.
- Pandas Data Structures
- Operating on Data in Pandas
- Handling Missing Data
- Combining Datasets
Work on projects that bring your learning to life.
Made to be directly applicable in your work.
Live access to experts
Sessions and Q&As with our expert instructors, along with real-world projects.
Network & community
Core reviews a study groups. Share experiences and learn alongside a global network of professionals.
Support & accountability
We have a system in place to make sure you complete the course, and to help nudge you along the way.
Course success stories
Learn together and share experiences with other industry professionals
Having the opportunity to learn from other peers in the industry and the fabulous instructors was priceless. Their willingness to go the extra mile and immerse themselves with the cohort upon their work and life commitments was unmatched!
Samir was my instructor for my Stanford CS course, and there is no one better at explaining complex topics in bite-sized and fully understandable pieces. He helped go through many hands-on examples for each of the course concepts so students could get a deep and intuitive understanding of all of the course materials. I highly recommend Samir for anyone looking to get the most out of their learning experience.