Commerce

You can look for following options:
Bachelors in Arts-You can do BA by taking honours either in economics, political Science, language, sociology, history, geography, home science and philosophy. This line has the scopes in teaching in schools, colleges, universities so you can opt for B.Ed (Bachelor of Education) after graduation.
Bachelors in Commerce:
Commerce people can complete their graduation with honours in any of the commerce subjects like accountancy, finance, business administration and economics depending on the marks scored on the specialised subject. You can also choose to go for teaching in schools, colleges, universities and can also prepare for the UGC NET exam. You can directly study MBA after graduation, go for M.Com too for another two years and then research for the doctorate degree.
Bachelors in Science:
Candidates of science stream taking honours in physics, chemistry, and biology can choose to be a teacher in different Science institutes, can also complete the M.Sc in your specialised honour subject, prepare to qualify the UGC NET exam. After post graduation, you can do research for the Ph.D degree. This usually takes another 3-5 years. You also have a career scope in the field of biotechnology, microbiology, bioinformatics and biochemistry.

Dear Manish,
Well, you can learn in multiple ways, some people learn everything online while some join programs and courses to become a data scientist. I think one needs to cover a certain topics online while certain topics can only be learnt in classroom training module.
Python Basics, Intermediate and Advanced statistics, Probability and Linear Algebra, Linear Regression, Time Series and Cost Function, Types of Data & Exploratory Data Analysis, Collecting, extracting, querying, cleaning, and aggregating data for analysis, Data Sources, Cleaning and Wrangling, Working with APIs and Web Scraping.
These will help you learn the advanced topics of data Science faster and in depth. I would always recommend data Science aspirants to go for a programme which is classroom-based, instructor-led and heavily practice driven. You will come across a lot of institutions, courses, programs that will help you learn data Science. Some are way expensive while some are reasonable. But, one very important thing to keep in mind while you are enrolling for such courses is to know the worth of it in terms of knowledge and what at the end of the course you are developing within yourself. Remember: "80% practical & 20% theory".
Hope this helps.