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Intro to Data Science with Python

Master the most in-demand data skills in live sessions with an expert Data Scientist.

Registration is now closed


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Three 2-hour instructor-led webinars over three weeks, and 3 assignments.

Intro to Data Science with Python

Registration is now closed

What will I learn?

Start and complete a data science project using Python.

Read, clean and wrangle data from a .csv file using Python.

Visualize data with informative graphs and plots.

Become familiar with Python’s most popular machine learning functionality.

Build and tune a machine learning model to make predictions.

Learn the basics of AI, and its most common use cases.

Course curriculum

Session 1
Introduction to Exploratory Data Analysis

Review Python notions, such as data structures and control flow, and learn the basics of data analysis using the Pandas library.

Session 2
Data Visualization and Advanced Analysis

Learn how to aggregate, summarize, and visualize data in Python using libraries such as Pandas and Matplotlib. Also, learn important strategies for data cleaning and troubleshooting using advanced Pandas functionality.

Session 3
Machine Learning Fundamentals

Learn how to make accurate predictions from data using the Scikit-learn library, and how to validate, interpret and communicate the insights you uncover.

Elite instructors

You learn from an elite team of industry experts who have taught at universities such as Harvard, and have trained teams at companies such as Qualcomm.

Sustained practice

You start coding from day one, and get valuable feedback, which is the fastest, most effective way to hone your skills and master programming.

Tailored feedback

You get personalized, live feedback and guidance directly from your instructors.

Fellowship and community

You gain access to a vibrant and engaging community of fellow students and knowledgeable mentors in every class.

Randi S., Edlitera student
Gaston G., Edlitera student

Frequently Asked Questions

1. Is this a pre-recorded course?

No, it is not. All 3 sessions of this course are fully live, and lead by the instructor.

Each live session is taught online, by webinar, so you’ll be able to ask your instructor questions in real time, and get feedback on your work without ever leaving the comfort of your sofa.

2. What does the fee cover?

Your fee covers:
- Weekly classes taught live by the instructor via webinar.
- All materials and resources used in this course.
- Constant support and direct feedback on your work and progress from our instructors.
- Access to a vibrant online community of mentors and peers.
- All taxes and fees.

3. Can my employer pay for this course on my behalf?

Definitely! Many of our students have been employer-sponsored. Check with your employer about tuition benefits.

4. I want my whole team to take this course. Do you offer private training for companies?

We sure do. Check out our corporate training page for more information on the topics and formats we offer, or shoot us an email at [email protected]

5. Are there any prerequisites?

A basic familiarity with Python programming is required for this course.

6. I’m interested! What happens after I register?

After you register for this course, you get a confirmation email. You get a second email containing the details you need to hit the ground running on your first class, including:
•    recommended preparation for the first session
•    how to join the live classes
•    invitation to the online class community

7. What happens if I miss a live session?

Our courses are designed to give you the most effective and flexible learning experience available. If you miss a live session, watch the session recording the following day, and work through the weekly assignment as usual.

8. What if I have a question between sessions?

If you get stuck or have questions, your instructor is always there to help get you unstuck - just ask!

9. What kind of weekly time commitment should I expect?

In addition to attending the 120-minute, weekly, instructor-led sessions, you should expect to spend around four hours per week studying and working on practice problems and projects.

10. Can I take this course if I live outside of the US?

Absolutely. All students everywhere are welcome to enroll in this English-language course.

11. I have another question.

Perfect - we most likely have an answer for you. Ping us at [email protected] and we’ll go from there.