Skill
Data wrangling
Most of applied ML is cleaning tables. Get comfortable with pandas.
Do these first
What you will be able to do
- Load a CSV and inspect dtypes
- Filter, group, and join frames
- Handle missing values on purpose
Curated resources
Start with the pick, then branch out
Scores are LearnPath editorial opinions (clarity, cost, freshness, project density) — not an objective ranking. Every YouTube item is embedded officially after a click-to-load facade.
Official docs
LearnPath pickdocumentationbeginner
10 minutes to pandas
pandas40 min
Type it. Do not only read it.
Score 93
Open
31 minFastest pathQuick pathyoutube videobeginner
Learn Pandas in 30 Minutes - Python Pandas Tutorial
Tech With Tim31 min
Thirty-one minutes, published 2025, covering the DataFrame operations used in 90% of day-to-day analysis. Ideal before starting a real dataset.
Score 74
Watch
4h 58mLearnPath pickMore curatedyoutube coursebeginner
Pandas & Python for Data Analysis by Example – Full Course for Beginners
freeCodeCamp.org4h 58m
Five hours of pure pandas by example: loading, cleaning, filtering, grouping, joining, reshaping and plotting real datasets in notebooks. The most complete free pandas course verified and the core skill behind every data-science path.
Score 84
Watch
1h 34mMore curatedyoutube coursebeginner
Complete Python Pandas Data Science Tutorial! (2025 Updated Edition)
Keith Galli1h 34m
Keith Galli's updated pandas tutorial — one and a half hours, refreshed in 2024/2025, with a cleaner narrative than the long courses and modern pandas idioms.
Score 84
Watch
2h 40mMore curatedyoutube coursebeginner
Learn Pandas in Under 3 Hours | Filtering, Joins, Indexing, Data Cleaning, Visualizations
Alex The Analyst2h 40m
A 2024 analyst-oriented pandas course — filtering, joins, indexing, cleaning — structured the way analytics work is actually assigned.
Score 82
Watch
5h 52mBest for beginnersMore curatedyoutube coursebeginner
Learn Data Science Tutorial - Full Course for Beginners
freeCodeCamp.org5h 52m
Six hours that answer 'what does a data scientist actually do' — collecting data, cleaning it, exploring, modelling, communicating — with Python throughout. The right orientation before specialising in statistics or machine learning.
Score 78
Watch