Become a Data Scientist

Led by leading practitioners, this three course sequence covers applied statistical modeling, practical tools for experimentation, and advanced methods for causal inference. Upon completion of the sequence you'll have the toolkit to grow your career as a data scientist and have an immediate impact across a wide range of industries.

We taught over 5000 learners from these companies:

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Data Science Academy

September 18, 2023
12 weeksPart-time
3 course certificates

What you'll learn

Learn the skills that employers are looking for.
Retain knowledge with real-world projects for your portfolio.

  • Course 1
  • Course 2
  • Course 3

Applied Statistics for Data Science

Created and taught by
Emily Ekdahl - Instructor photo
Machine Learning Engineer at Vouch
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Musab Khawaja - Instructor photo
Senior Data Scientist
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See course details

Part-time schedule

We know you’re busy, so we made it flexible.
Attend Live events combined with asynchrounous work.

Too busy? All events are recorded!

Access any course

Gain access to our full library of up to date courses.
Free trial included!

New in-demand courses added monthly.

Learn from industry experts

Our expert instructors lead data, engineering, and machine learning teams within the world’s most innovative companies.

Emily Ekdahl

Machine Learning Engineer at Vouch

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Musab Khawaja

Senior Data Scientist

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Stephanie Pancoast

Senior Data Science and Analytics Manager

LinkedIn →

Vinod Bakthavachalam

Data Scientist, Netflix

LinkedIn →

Peer network

Code reviews and study groups. Share experiences and learn alongside a global network of professionals.

A team of people to support you

We have a system in place to make sure you complete the course, and to help nudge you along the way.

Interview preparation

We will help you prepare for interviewing at tech companies, no matter the position.

Project-based learning

Real-world projects that teach you industry skills and prepare your portfoilo.

Best-in-class outcomes

15-20x engagement compared to async courses

Completion certificates

Each course comes with a certificate that you can add to your resume.

Is this right for me?

Who is it for?
  • Data Analysts/Business Analysts looking to further their career into Data Science

  • Other software engineers seeking to transition into data science and statistics related roles

Prerequisites / Commitment
  • Foundation in basic statistics (mean, median, mode, and basic summary statistics)

  • Knowledge of Python programming: Variables, Functions, Lists, Loops + Numpy & Pandas (as covered in CoRise's Python for Data Science - )

No prerequisites? No problem!

You can learn the foundational skills through our courses:

Intro to Numpy and Pandas

UC Berkeley Tech Policy Fellow & AI Fellow, National Institute of Standards and Technology (NIST) &

SQL Crash Course

Associate Director, Business Analytics
September 16, 2024

Intermediate SQL

Product at Benchling
Senior Data Engineer at CVS Health

Still not sure?

Get in touch and we'll help you decide.


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