Big Data & Analytics

In my view, having anything that prospective employers would consider when screening you for a Data Scientist employment is the first thing to think about. A few Prospects:
Think about getting a Master's in a field like Machine Learning, Data Analytics (descriptive, diagnostic, predictive, and prescriptive), Business Intelligence, Computer Vision, or Mathematical/Statistical Modeling. A Mechanical Engineer with some experience in IT and programming might pursue these avenues.
Don't try to out-geek the nerds and mathematicians. You may use your knowledge of engineering tools like Matlab, simulation, optimization, calculus, and modelling to good use. Never weaken that, since it is a major part of your competitive edge. (While my computer science buddies have a distinct advantage when it comes to programming, they are woefully lacking in math and statistics understanding.)
There is no substitute for actual work experience, and although MOOCs and books may help, they are not enough. Working closely with excellent mentors in Data Science and Machine Learning at IBM's Cognitive Class (formerly Big Data University) was the ideal choice for me.
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It's not unusual for those who specialise in data analysis to go into business analysis positions. People with a background in either business or data may readily transition into the other field since the two Sets of abilities are so comparable. Work on developing the skills you need and look for ways to use them in your present employment if you want to make the switch from data analysis to business analyst. This may take nothing more than expanding your network to include colleagues from different departments, or it may need learning to use brand-new software at work. Whatever measures you take, they will benefit your business analyst job application by bolstering your CV and giving you more to discuss during the interview.

Professional Development programme (PGP) courses are unparalleled when it comes to providing comprehensive training and knowledge. Many other types of schools and universities, as well as other training centers, provide classes on this topic. Therefore, getting your PGP via an established educational organisation is preferable than taking online courses from an individual supplier. Ultimately, I decided that NIIT was the greatest option for me to master data Science and analytics, beating out both Coursera and Udemy. Courses are comprehensive and easy to fit into busy schedules, and participants get guidance from professionals in the field during the duration of the programme. Through practical experience, you will be better prepared to use what you have learned in the workplace. They have a well-organized programme with mentors who are committed to seeing their mentees succeed. If they complete the course, they will be assured of a job.