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Jump Into Data Science in Python

2 Weeks

·

Cohort-based Course

Stop clicking through Excel and start comfortably coding in Python with this live cohort-based course brought to you by Yale Faculty.

Hosted by

Dr. Elena Grewal and Sarah McGowan

Yale Faculty, ex-Head of Data Science @ Airbnb, ex-Bain, Stanford University

Course overview

Real World Data Science in 2 Weeks

Develop the most useful day-to-day data science skills by working closely with the instructors during this intensive 2-week course. Have fun alongside a group of curious students (welcoming to women and non-binary students!). This course will change your mind about coding being boring or too hard. And if you've been looking for a course that is most similar to going back to school while still being after work hours - this is for you!


We meet 3 times a week from 6:30-8:30pm EST and have additional office hours available. No watching videos on your own and working through exercises without any personal feedback. We are here for you.


The class is based on the top-rated class Dr. Grewal and McGowan teach at the Yale School of Environment.


Master the fundamentals of data science in Python in just 2 weeks.

Who is this course for?

01

New Data Scientists


You want to transition your career to data science, but don't know where to start

02

Curious about Coding


You've thought about learning to code, but the classes didn't seem appealing

03

Analysts / Researchers


You use Excel and know there is something more powerful out there

What will you do?

Learn Python Basics

Get started in Python using the data scientists tool of choice - notebooks - and learn how to write your code like a professional data scientist.

Load and Clean Data

The best data scientists know that understanding where your data comes from and finding all the "dirty secrets" of the data can make or break your analysis. You will learn key tools to do this.

Visualize Data

There is nothing more powerful than a chart that tells you exactly what you need to know. We cover different types of data visualizations, including maps.

Use Statistics

Start to separate the signal from the noise and reveal what your data is telling you. While we won't teach much statistics, we'll get you started.

Take the Next Step

Finally, we review how to solve your own problems when you hit roadblocks and what topics you can learn next. Data scientists are constantly learning, so this last part is important!

See what people are saying

        Elena and Sarah were great! They were passionate in teaching and love for their students were highly evident. They were the best asset for this course.
Former student

Former student

        The lectures and exercises are so clear and easy to follow. It is has a very friendly learning curve for students who do not have much Python experience.
Former student

Former student

        Covered the most important topics in using Python for data science work, and gave great examples and tutorials.
Former student

Former student

        Learn data science the right way from the basics. This is the best intro to Python course you can have.
Former student

Former student

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Join an upcoming cohort

Jump Into Data Science in Python

Cohort 1

$499 USD

Dates

Mar 13 - 24, 2023

Payment Deadline

Mar 6, 2023

Meet your instructor

Dr. Elena Grewal

Dr. Elena Grewal

Dr. Grewal was the Head of Data Science at Airbnb. At Airbnb, she spearheaded Data University which trained hundreds of non-technical people in data skills. After seven years on the rocketship, she left Airbnb and started a data science consultancy with Sarah called Data 2 the People where they do data science work for values-aligned projects in politics, criminal justice, education, and climate change. She has a Ph.D. from Stanford University and a B.A. from Yale University.

Sarah McGowan

Sarah McGowan

Today, in her work with Elena at Data 2 the People, Sarah uses Python to help clients optimize processes, scenario-plan, measure progress, and answer pressing organizational questions. Prior to co-founding Data 2 the People, Sarah was a Consultant at Bain & Co. Sarah is passionate about sharing data science skills with others and created and teaches a top-rated course at the Yale School of the Environment with Elena. Sarah has a B.E. and B.A. from Dartmouth College.

A pattern of wavy dots
Join an upcoming cohort

Jump Into Data Science in Python

Cohort 1

$499 USD

Dates

Mar 13 - 24, 2023

Payment Deadline

Mar 6, 2023

Course syllabus

01

Module 1: What is Python?

  • Class Intro
  • Why use Python?
  • Set up Python notebook
  • Intro to Python and Pandas (Variable types, data structures, getting data in and out, modules, subsetting)
  • Best practices for syntax & commenting


02

Module 2: Data Tidying

  • Reshaping
  • Merging 
  • Filtering & logic
  • String splitting
  • Casting
  • Calculated fields
  • What do I do if I need help?


03

Module 3: Data QA

  • Duplicates
  • Missing values
  • Summary Statistics
  • distributions, trends, and outliers
  • P-hacking
  • Relationships between pairs of variables 


04

Module 4: Visualization and a Taste of Statistics

  • Variable transformations
  • Plotting
  • Tables
  • Regressions and T-tests


Course Work

2 weeks, 10 hours per week
  • Live Workshops (Mon/Weds/Fri - Mar 13th, 15th, 17th, 20th, 22nd, 24th)

    6:30PM - 8:30PM EST

    Kick off new topics with live instruction to dive deep into topics and practice coding concepts. Ask instructors questions and work in groups.

  • At-home Projects (Tues/Thurs - Mar 14th, 16th, 21st, 23rd)

    ~90 min each

    Reinforce your learning in between workshops with independent, guided problem sets that build on everything you've learned. We won't call it grading, but you'll get detailed, personal feedback from us on what you submit 😊

Course Schedule

Course Schedule
A pattern of wavy dots
Join an upcoming cohort

Jump Into Data Science in Python

Cohort 1

$499 USD

Dates

Mar 13 - 24, 2023

Payment Deadline

Mar 6, 2023

Learning is better with cohorts

Learning is better with cohorts

Active learning, not passive watching

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Get reimbursed by your employer

Get reimbursed by your employer

Take advantage of education funds

Many employers have education budgets set aside for employees to attend courses, seminars, or conferences.

Even companies without explicit education benefits may still subsidize learning

Most managers will find ways to keep their teams growing and developing and can approve one-off expenses, even if they don't have dedicated education funds

Email Template:

Click here for an email template to ask your manager for reimbursement

Frequently Asked Questions

What happens if I can’t make a live session?
How much can I really learn in 2 weeks?
I work full-time, what is the expected time commitment?
Are there any pre reqs for this course?
Are there any hardware or software requirements?
Who should NOT take this course?
What’s the refund policy?
What if I still have questions?
A pattern of wavy dots
Join an upcoming cohort

Jump Into Data Science in Python

Cohort 1

$499 USD

Dates

Mar 13 - 24, 2023

Payment Deadline

Mar 6, 2023

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$499 USD

2 Weeks