Maths Spl

Many new engineering colleges are coming up in India and because of this; the job opportunities for teachers are on the rise too. As there are numerous specializations available in B.Tech, it will be easy for a B.Tech graduate to get jobs as lecturers or guest lecturers with private colleges. More job opportunities will be available for students if they finish their M.Tech degree. This is because the majority of colleges today opt for those students who have M.Tech degrees or are pursuing their Masters in Technology degree. One other option for students is to go for MBA after their B.Tech degree. They can specialize in Systems and Operations or any other field of their choice. Career opportunities for these students will be high not only in the teaching profession but also in the corporate world. The remuneration got by them will be high as well. With more experience in this field, students will be able to get much better salaries. Aspirants who wish to pursue a career in teaching must have an M.Tech degree. Upon the completion of this course, it is needed for them to clear the NET or the SLET exams. The main purpose of these exams is to make the candidates eligible for the posts of lecturers in reputed institutions in India. This can be considered as the basic eligibility for a lecturer.

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.