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.
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
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.
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
Get started in Python using the data scientists tool of choice - notebooks - and learn how to write your code like a professional data scientist.
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.
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.
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.
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!
Former student
Former student
Former student
Former student
Cohort 1
$499 USD
Dates
Mar 13 - 24, 2023
Payment Deadline
Mar 6, 2023
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.
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.
Cohort 1
$499 USD
Dates
Mar 13 - 24, 2023
Payment Deadline
Mar 6, 2023
01
Module 1: What is Python?
02
Module 2: Data Tidying
03
Module 3: Data QA
04
Module 4: Visualization and a Taste of Statistics
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.
~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 😊
Cohort 1
$499 USD
Dates
Mar 13 - 24, 2023
Payment Deadline
Mar 6, 2023
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
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
Cohort 1
$499 USD
Dates
Mar 13 - 24, 2023
Payment Deadline
Mar 6, 2023
Sign up to be the first to know about course updates.
$499 USD
2 Weeks