I want to learn data analytics. I am from mechanical background. What should I do?

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. Discover a guide. Someone who can shed light on your situation and alleviate your suffering

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With the ever decreasing cost of data storage devices, companies are looking at means to extract business intelligence from large databases and data warehouses. Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses. Big data platform is a type of IT solution that combines the features and capabilities of several big data application and utilities within a single solution. It is an enterprise class IT platform that enables organization in developing, deploying, operating and managing a big data infrastructure /environment. SAP HANA is one of the most popular Big Data platform for Data Analytic . SAP HANA is an in-memory data platform that lets companies accelerate business processes, deliver more business intelligence, and simplify IT environment. By providing the foundation for all company data needs, SAP HANA removes the burden of maintaining separate legacy systems and siloed data, so company can run live and make better business decisions in the new digital economy. Currently job opportunities in the field of Data Analytics are very high. There is a general shortage of DA experts in market and their current salary level is very high. You may do courses for SAP HANA to break into DA jobs after BTech Mechanical Engineering. You are further advised to do Postgraduate diploma in Data Analytics. PG Diploma in Data Analytics from IIIT Bangalore is a good option for you.The 11-month online PG Diploma program, co-developed by IIIT Bangalore and UpGrad, covers the depth and breadth of the subject in the form of interactive lectures, live sessions and a 3-month capstone project mentored by industry professionals. IIMB offers a one-year certificate programme in Analytics. There are many other options available to you to become specialist in Data Analytics.

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