I completed my Master of Technology in Data Science, no doubt it is an amazing field. I studied 18 different subjects, completed 1 Thesis, and 1 capstone project in my 2 years of MTech journey.
With all those subjects I am able to build a roadmap for all those who want to get a kick start as Data Scientist.
If you don't want to spend 2 years on a master's degree but want to learn on your own, this will be the best roadmap for you. It will give you a bird' eye view of where you are now and where you want to be in the future.
The roadmap is divided into 12 sections
- Python Programming and Logic Building
- Data Structure & Algorithms
- Pandas Numpy Matplotlib
- Statistics
- Machine Learning
- Natural Language Processing
- Computer Vision with PyTorch
- Data Visualization with Tableau
- Structure Query Language (SQL)
- Big Data and PySpark
- Development Operations with Azure
- Five Major Projects and Git
To understand the complexities of any technology, clear the fundamentals first.