Data Science Hands-On Crash Course

Learn the basics of Data Science in the crash course. You will learn about the theory and code behind the most common algorithms used in data science.

✏️ Course created by Marco Peixeiro. Check out his channel: https://www.youtube.com/channel/UC-0lpiwlftqwC7znCcF83qg

💻 Code: https://github.com/marcopeix/datasciencewithmarco
💻 Datasets: https://github.com/marcopeix/datasciencewithmarco/tree/master/data

⭐️ Course Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (03:06) Setup
⌨️ (04:29) Linear regression (theory)
⌨️ (09:29) Linear regression (Python)
⌨️ (20:59) Classification (theory)
⌨️ (30:16) Classifiaction (Python)
⌨️ (49:30) Resampling & regularization (theory)
⌨️ (56:09) Resampling and regularization (Python)
⌨️ (1:05:17) Decision trees (theory)
⌨️ (1:13:12) Decision trees (Python)
⌨️ (1:24:50) SVM (theory)
⌨️ (1:28:17) SVM (Python)
⌨️ (1:58:24) Unsupervised learning (theory)
⌨️ (2:06:54) Unsupervised learning (Python)
⌨️ (2:20:55) Conclusion

⭐️ Special thanks to our Champion supporters! ⭐️
🏆 Loc Do
🏆 Joseph C
🏆 DeezMaster

Become a supporter: https://www.youtube.com/freecodecamp/join

—

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that’s reinvented interactive learning: https://scrimba.com/freecodecamp

source

Categories: Blog

46 Comments

@3bdulrahman004 · November 15, 2026 at 12:36 am

This tutorial is not for beginners

@ThePentanol · November 15, 2026 at 12:36 am

I think the tutor himself is not aware or even not understanding what he' saying. Reading from paper.

@ShadeGamerX · November 15, 2026 at 12:36 am

TOTAL PAGES: BETWEEN 25,000 TO 30,000 PAGES

The exact count varies by the specific edition, font size, and publisher, but here is a breakdown of the estimated page counts for the major sections:

VINAYA PITAKA (The Book of the Discipline):

Translated into 6 VOLUMES.

Approximately 2,500 – 3,000 PAGES.

SUTTA PITAKA (The Basket of Discourses):

This is the largest section, containing the five Nikayas.

DIGHA NIKAYA: ~600 pages.

MAJJHIMA NIKAYA: ~1,400 pages.

SAMYUTTA NIKAYA: ~2,000 pages.

ANGUTTARA NIKAYA: ~1,800 pages.

KHUDDAKA NIKAYA: (This contains 15-18 sub-books like Dhammapada, Jataka, etc.) ~8,000+ pages.

TOTAL: Approximately 14,000 – 16,000 PAGES.

ABHIDHAMMA PITAKA (The Basket of Higher Doctrine):

Contains 7 MAJOR BOOKS often printed in over 10 volumes.

Approximately 6,000 – 8,000 PAGES.

SUMMARY COMPARISON

SINHALA (BUDDHA JAYANTHI): ~22,000 Pages (57 Volumes).

ENGLISH (PTS/MODERN): ~25,000+ Pages (Usually spread across 40 to 60+ PHYSICAL BOOKS depending on the series).

WHY IS IT SO LONG?

REPETITION: The Buddha used a repetitive style for oral memorization. English translations often retain this, which adds many pages.

FOOTNOTES: Scholarly English translations include extensive FOOTNOTES AND EXPLANATIONS to help Western readers understand ancient concepts, which significantly increases the page count. CAN YOU ANALYZE THIS TRIPITAKA

@Swiftfly-Gus · November 15, 2026 at 12:36 am

The formula for 7 minutes and 46 seconds (Total Sum of Squares) has a slight error. The sign for the mean of y seems to be wrong. It should be y-mean, not y-hat (this is the predicted value).

@king-yj7xf · November 15, 2026 at 12:36 am

Birthday is a pagan festival (satanic). So we need to stop celebrating birthdays

@SolomonTettey-r7r · November 15, 2026 at 12:36 am

This is not for absolute beginners

@_chris_6786 · November 15, 2026 at 12:36 am

👌🏻

@saharessam98 · November 15, 2026 at 12:36 am

Great course, but not for beginners. I didn't understand anything, until back after a time

@amanrohan3359 · November 15, 2026 at 12:36 am

how can I download the whoel file of the data ? I cant do it from github

@OmarHassan-bx5je · November 15, 2026 at 12:36 am

Amazing Tutorial

@TOBI-wf2ds · November 15, 2026 at 12:36 am

Thank you so much for this tutorial, It's been a great resource, probably one of the best on Youtube. I've been following along with the coding tutorials and I've run into an error with the
'Spam Detection' example. I'm on the last step where we're getting a score for accuracy and I'm getting a Key Error: 'X'. So for some reason X isn't present in the data set. I've checked the dictionary and 'X' is definitely there, and I've made the necessary changes for 'Xtest', etc. Any help would be greatly appreciated. Thank you again for making this course!

@sailorpluto04 · November 15, 2026 at 12:36 am

Suddenly there's an ad every 5 minutes 😢

@Bamboo_gong · November 15, 2026 at 12:36 am

very nice tutorial, straight to point yet covers all necessary stuff!

@luckychitundu1070 · November 15, 2026 at 12:36 am

Great Course Brother!

@saadnajam4584 · November 15, 2026 at 12:36 am

10:00

@jimenaeboli9663 · November 15, 2026 at 12:36 am

As a newcomer to data science and programming, I found this video extremely helpful as it got right to the point and gave concrete examples.

@akhil7110 · November 15, 2026 at 12:36 am

how do you get advertising csv?

@hmatinnn · November 15, 2026 at 12:36 am

This is the best one i ve ever seen. Can learn algortims easier than other educational platforms. Thanks a lot

@sudiplaudari3844 · November 15, 2026 at 12:36 am

This is a great tutorial. In my opinion, it's not for beginner. Those who are beginner and trying to understand this course, Its better to learn some basic python like, list comprehensive , loop, plotting graph, numpy array, file handling and data pre processing concept. Further more, with some basic algebraic matrices properties and statistical basic concepts might make it easy to understand.

@rayyanamir8560 · November 15, 2026 at 12:36 am

Data science crash course in 2 hours 21 minutes. Heights of misleading.

@Aherz-yd4gs · November 15, 2026 at 12:36 am

You need to know how to interpret econometrics.
The coding is natürlich useful.

@timothywaweru5903 · November 15, 2026 at 12:36 am

Excellent stuff, really worth the time

@Adinasa2 · November 15, 2026 at 12:36 am

Hi Marco could you please share the PPT along with the codes. The presentation is very very useful and nice.

@thedosaguygg3710 · November 15, 2026 at 12:36 am

anna step by step helkodu

@Gorlung · November 15, 2026 at 12:36 am

I really need a course on the same topic, but "for dummies"..

@williamwambua7710 · November 15, 2026 at 12:36 am

How does one know if the data he or she using is small or large??

@silverpinecone · November 15, 2026 at 12:36 am

FYI this is way too complicated for someone barely starting.

@dewisartikaanggraeni3953 · November 15, 2026 at 12:36 am

Yeah thanks on😇😊😍😀😘😍🤝😍

@exshenanigan2333 · November 15, 2026 at 12:36 am

4:36 that escalated quickly

@rasulamirov4959 · November 15, 2026 at 12:36 am

Make tutorial for Computational Fluid Dynamics (CFD) Simulation. That would be very interesting

@arinzechukwubuike · November 15, 2026 at 12:36 am

Thanks for the video but you need to be trained how to do Crash courses. I don't understand you and how you navigate on Jupyter. You don't carry people who never used it along. Kindly edit you heading to Data science for Experts on Jupyter. Good day. I might uninstall this anaconda app, it is of no use to me. Can't use what I don't understand. I have other apps on python that I understand better.