This is a practical course, the course I wish I had when I first started learning Data Science.
It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it features 35+ Practical Case Studies covering so many common business problems faced by Data Scientists in the real world.
Right now, even in spite of the Covid-19 economic contraction, traditional businesses are hiring Data Scientists in droves!
And they expect new hires to have the ability to apply Data Science solutions to solve their problems. Data Scientists who can do this will prove to be one of the most valuable assets in business over the next few decades!
“Data Scientist has become the top job in the US for the last 4 years running!” according to Harvard Business Review & Glassdoor.
However, Data Science has a difficult learning curve – How does one even get started in this industry awash with mystique, confusion, impossible-looking mathematics, and code? Even if you get your feet wet, applying your newfound Data Science knowledge to a real-world problem is even more confusing.
This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science and Deep Learning to real-world business problems.
This course has a comprehensive syllabus that tackles all the major components of Data Science knowledge.