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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!

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Luca Belli
Fmr. Staff Machine Learning Researcher at Twitter

We taught over 5000 learners from these companies:

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Real-world projects that teach you industry skills.
Learn alongside a small group of your professional peers
Part-time program with 2 live events per week.
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Course taught by expert instructors

Instructor Photo
Affiliation logo

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.

Who is it for?
  • 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

  • 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.
  • 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.

Still not sure?

Get in touch and we'll help you decide.

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!

Emmanuel Osei BoatengData Analytics Engineer

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.

Sujeet KumarFormer Stanford CS Student & Architect at JP Morgan

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