Intro to Numpy and Pandas
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!
We taught over 5000 learners from these companies:
Course taught by expert instructors
Luca Belli
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.
A course you'll actually complete. AI-powered learning that drives results.
AI-powered learning
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Completion certificates
Each course comes with a certificate for learners to add to their resume.
Best-in-class outcomes
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
The course
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
- Learn
- File Input/Output
- Computation On Arrays
- Aggregation
- Slicing, Indexing, and Modifying Arrays
Use Numpy to perform calculations on Airbnb listing data, and create a visualization of your analysis using Streamlit.
- Learn
- Pandas Data Structures
- Operating on Data in Pandas
- Handling Missing Data
- Combining Datasets
Use Pandas to clean and preprocess your data for modeling, and package the results as another Streamlit app.
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.
