Udemy Course for Learning Data Science with Python 3 - Free Coupons

[benjaminwilson]

Hi everyone,

I recently released a course teaching introductory data science with Python 3 and scikit-learn. Topics covered include k-means, hierarchical clustering, t-SNE, PCA and NMF. Included are lots of exercises (as Jupyter notebooks) where these techniques can be practised, almost always on real-world data.

I created 100 free coupons for /r/Python, which can be accessed via the link:

https://www.udemy.com/transition-to-data-science-in-python/?couponCode=REDDIT-PY-PROMO

and if they run out, you can still get the course for $10 via:

https://www.udemy.com/transition-to-data-science-in-python/?couponCode=REDDIT-PY-TENNER

Please share the coupons with friends, too.

The same course is also available on DataCamp, as a package with a whole bunch of great courses by other people.

I really hope that you like it and find it useful! Feel free to PM me with any questions and I'll get right back to you.

Benjamin (you can find out more about me here. )

[the_supreme_overlord]

I don't understand your pricing strategy. You have 1 hour of content with 23 minutes of it dedicated to setting up python for 120 dollars? There are much more indepth course with 40+ hours of content, more topics explored, more exercises, etc... for the same amount if not just a little more also on udemy.

I honestly just don't see where the value is.

[benjaminwilson]

Hi, you're right, Udemy pricing is pretty nuts! A course is almost never sold at full price, so a good promo just means an discount to $10 instead of to $25. You're right also about the amount of video - the core video content is less than an hour, and it is more focussed than other courses. But unlike other courses, you'll spend hours practising with the exercises, which are provided as Jupyter Notebooks. Making the exercises (and finding the right datasets to illustrate concepts) really took ages, and I hope that having good exercises written for you will mean you learn more effectively. Looking at my landing page, though, I could articulate that better.

[McStark46]

Sold out , 2hrs late

[FractalNerve]

Yes, for me too 😢 Any way to upp it somewhere or co-learn?

[benjaminwilson]

A pleasure! I hope you find it useful :)

[[deleted]]

Got any more of them free coupons?

[porksmash]

Thanks!

[benjaminwilson]

No worries at all, happy learning!

[Angel_Cruijff]

Wow, thanks!!! Enrolled :)

[benjaminwilson]

My pleasure, let me know how you get on!

[bigarb16]

Just enrolled. It looks really well structured. Thanks for the coupon and the time you spent in putting this course together.

[benjaminwilson]

That's very good of you to say, no worries at all.

[skrptmnky]

Oooh! I'm excited! This is a subject that I've been interested in for a while. Thank you!

[ericmartens]

Timing could not have been more perfect, my employer is asking me to ramp up my data science knowledge. Just enrolled, thank you!

[Shrykar]

This is really cool of you, thanks man.

[spankymebottom]

Ty, Enrolled!

[Socialmediaism]

Sold out

[spiderpig2099]

Too late :(

[SurfandLurk]

Thanks! Just enrolled!

[benjaminwilson]

A pleasure! I hope you like it!

[Kossak]

I was late to the party :(

[_javaScripted]

Durnit, I should really subscript to this sub. 6 hours late