DADataCamp
Introduction to Statistics in Python
Intermediate 4 hours English Completion Certificate
What you'll learn
Calculate and interpret summary statistics
Reason about probability and distributions
Measure correlation between variables
Understand the basics of experimental design
Apply statistical thinking in Python
Draw valid conclusions from sample data
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
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- Duration
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
MM
Maggie Matsui
DataCamp instructor
— learners— courses — instructor rating
Taught by Maggie Matsui, a Curriculum Manager at DataCamp, with a focus on applying statistics through code rather than theory alone.
Requirements
- Comfortable Python; pandas helps
Who this course is for
- Learners with basic Python/pandas
- Aspiring data analysts and scientists
- Anyone moving from charts to analysis
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Yes — it's intermediate and applies statistics in Python. Take Introduction to Python (and ideally pandas) first.
It's applied rather than theoretical — you learn statistics by computing it in Python, which keeps the concepts concrete.
About four hours of hands-on exercises.
It's what lets you draw valid conclusions and avoid misleading results — the foundation for analysis and machine learning.
First chapter free; full course on a DataCamp subscription (~$29/month annually), with a statement of accomplishment.