Free course! Exploratory Data Analysis in Python

I’m very glad to announce that I’ve published my new free course! The topic is the Exploratory Data Analysis using Python.

In this free course, I cover all the aspects of EDA, which is the first analysis of a dataset before applying any transformation. A properly performed EDA can be useful to find the most informative features, to have a clear overview of how clean our dataset is, if there are useless features and, more important, about collinearity among the columns.

I’ll publish the videos of this free course twice a week on my social channels and on my Youtube channel.

You can join it in my school right now and get full access to all the lessons, the dataset, the source code I use in the examples and a certificate of completion if you complete the entire course.

Join my course!

In my course about Supervised Machine Learning with Python I’ll teach you the most common ML models, the evaluation of their performance and how to calculate feature importance to explain them.

  • 10+ hours of recorded video lessons
  • Python code for each lesson
  • Certificate of completion at the end
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  1. Great Blogpost! I am very gad to found such a beautiful post. Thankyou so much to share this beautiful post.

  2. This courses are very useful for my career as I am looking forward to make career in machine learning. You have done a fantastic job. Thank you for all the details.

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