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BestsellerBeginner
Data Analysis with Python
Clean, explore and chart real datasets with confidence.
4.92,967 reviews18,240 learners
Created byMei-Lin Ota Updated Oct 2026 English · 6 subtitles 11 hours
What you'll learn
- Load and clean messy, real-world datasets
- Ask clear questions and answer them with queries
- Chart results so the story is obvious at a glance
- Spot outliers, gaps and misleading averages
- Automate a weekly report end to end
- Explain findings to people who hate spreadsheets
Curriculum
4 sections · 14 core lessons · 4h 30m01Python for data, quickly4 lessons · 36 min
- Welcome & the dataset we'll useFree preview5 min
- Notebooks in ten minutesFree preview10 min
- Python essentials for analysts16 min
- Check-in: the basics5 min
02Cleaning messy data4 lessons · 1h 27m
- Loading CSVs with pandas13 min
- Missing values and odd types15 min
- Merging tables without duplicate rows14 min
- Project: clean the rainfall dataset45 min
03Exploring data3 lessons · 31 min
- Group, filter and summarise15 min
- Reading: asking good questions of data8 min
- Quiz: pandas patterns8 min
04Charts and stories3 lessons · 1h 56m
- Charts that make one point14 min
- From notebook to a one-page report12 min
- Final project: your own analysis1h 30m
Requirements
- No experience needed: we start from zero
- A laptop or phone and about 20 minutes a day
- Curiosity, and a notebook you don't mind messing up
This course is for
- Curious beginners who learn by doing
- Career changers building a first portfolio
- Teams who want a shared vocabulary
Your instructor
Mei-Lin Ota
Data scientist
- 4.9 instructor rating
- 35k students
- 3 courses
Mei-Lin spent eight years in climate research and teaches data analysis with real, messy datasets.
What learners say
2,967 reviews4.9out of 5
- 5★81%
- 4★14%
- 3★3%
- 2★1%
- 1★1%
- Lena Fischer2 weeks ago
Short lessons, clear tasks and an instructor who answers questions in the community within a day. I finished in five weeks.
- Daniel Okoro1 month ago
The projects are the best part. I used the final one in a job interview and it carried the conversation.
- Hana Sato1 month ago
Lovely pacing. A couple of lessons could be shorter, but the quick checks kept me honest the whole way.
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