Written by Rahul Dave
on
About pyDS
- Would you like to be able to learn Data Science or AI? These are multi-faceted subjects. How should you start? The best thing you could do to prepare yourself is to learn how to code, and code well, using python.
- For instance, here is some code to carry out linear regression. Starts by opening a file and reading in the data, and ends with predicting the results and calculating a (loss) function on new data. Along the way, there are multiple programming concepts you must learn..
- By learning these concepts, you will be ready for the thinking and the coding required to do more advanced tasks, such as representing images and operating on them!
- At Univ.AI, we have carefully crafted a live and hands-on python course to make this learning easy for you. We are calling it pyDS. It starts on the 14th of August (this Saturday!), and runs for 5 weekends. See https://welcome.univ.ai/Foundations/PyDS/.
- With an investment of 90 minutes in class each weekend day for 5 weeks, you will progress from basic python programming to the implementation of statistical algorithms. Exercises and homework will reinforce your learning.
- The course will be delivered by a crack team of practitioners, from the Stellar DNN research group. You can find out more about them and the course at https://welcome.univ.ai/Foundations/PyDS/
- Our company is founded on the premise that a good quality, university-like education can be made available at a reasonable cost. Thus we set the introductory price for pyDS to be quite low, at $100!
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And, for a limited time only, we are running a promotion in which the price drops to $70! Sign up at https://application.univ.ai/featured and use code USQ3VO .
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pyDS is a prerequisite (or you can take a test) for our other courses and programs. It is great preparation for self-study and other courses in AI as well! You can learn more at https://stories.univ.ai/aboutfoundingunivai/.
- You can access a permalink to this thread here: https://stories.univ.ai/pyds/. You can also DM me on twitter for more information, and follow me at @rahuldave for fun tweet threads on data science and AI.