Data & AIBeginner

Data Analysis with Python

Clean, explore and chart real datasets with confidence.

31%

4 of 14 core lessons done

About 3.9 hours to go · last seen yesterday

Curriculum

4 sections · 14 core lessons (of 48) · 11 hours

01Python for data, quickly
4/4
- CompletedWelcome & the dataset we'll useVideo · 5 min
- CompletedNotebooks in ten minutesVideo · 10 min
- CompletedPython essentials for analystsVideo · 16 min
- CompletedCheck-in: the basicsQuiz · 5 min
02Cleaning messy data
0/4
- Up nextLoading CSVs with pandasVideo · 13 minUp next
- Not startedMissing values and odd typesVideo · 15 min
- Not startedMerging tables without duplicate rowsVideo · 14 min
- Not startedProject: clean the rainfall datasetProject · 45 min
03Exploring data
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- Not startedGroup, filter and summariseVideo · 15 min
- Not startedReading: asking good questions of dataReading · 8 min
- Not startedQuiz: pandas patternsQuiz · 8 min
04Charts and stories
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- Not startedCharts that make one pointVideo · 14 min
- Not startedFrom notebook to a one-page reportVideo · 12 min
- Not startedFinal project: your own analysisProject · 90 min

Finish every lesson and project to earn it

Core lessons4/14

Quizzes passed1/2

Projects submitted0/2

Files used in this course

Mei-Lin Ota

Data scientist

Mei-Lin spent eight years in climate research and teaches data analysis with real, messy datasets.

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