Loads of information is available on internet about data science, but all is not relevant, there is a lot of garbage out there. And many institutes are just minting money in the name of data science courses; IMHO, very few can justify the fee they charge.
This is my attempt to curate the quality content on data science from the internet. I will mention here the concepts & skills required for data science at each level (beginners/practitioners/experts) and what are the best resources available to learn from (mostly free).
So I am not creating any content here (apart from writing my blog), just filtering and organizing the content that really matters and categorizing it into these self-learning kits.
Who should subscribe?
This learning kit has been designed for Data Science Beginners, this kit aims you to get started with data science as quickly as possible. No prerequisites, just a logical mind.
Outline
Approach
A balance between theory and practical, just scratching the surface to get an overview of end to end Machine Learning.
Who should subscribe?
This learning kit has been designed for Data Science Practitioners, with in-depth focus on Statistical Learning area. Beginners level is the prerequisite for this kit.
Outline
Approach
Goes a bit deep in each area with appropriate hands-on, introduction to advanced areas like Deep Learning.
Coming soon...
Who should subscribe?
This learning kit has been designed for Data Science Experts, with in-depth focus on Deep Learning area. Practitioners level is the prerequisite for this kit.
Outline
Approach
Goes in depth into advanced topics with all the maths behind it with a complex Capstone project.
Coming soon...