DATA ANALYTICS

INTRODUCTION

Data Science and Data Analytics specialists use data-crunching tools like Google Analytics, Tableau, Power BI, Python, and R to analyze data and make it useful for companies. This Data Science certification course equips you to analyze a vast amount of data seamlessly and help your clients make better data-driven decisions. The program sets you off on the right course to get a coveted job in top companies in Information Technology or software, BFSI, Automotive, and many other sectors.

Data Science and Analytics amalgamate Computer Science, Mathematics, and Statistics beautifully. Not only the theory, but students also learn the application of Data Science and Analytics in real life. This Data Science certification course exposes students to nine different modules. While five of them are instructor-led and live, four courses can be taken online. The subjects include SQL for Data Science, Core and Advanced Python Programming, Power BI, Tableau, Data Structures and Algorithms, and Advanced Deep Learning, among other

The fee for this six-month-long program ranges from Rs. 15,000 per month to Rs. 25,000 per month for ten months.

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Since Data Science takes in concepts from Computer Science, Mathematics, and Statistics, anyone with a knack for these subjects can apply for this course. Generally, engineers, IT and software professionals, and marketing executives, freshers or experienced, enroll in this course to advance their careers.

If you want to take up the Post Graduate Program in Data Science and Analytics, you must possess a Bachelor's degree in the field, or have some degree in Science, Engineering, Mathematics, or Technology.

Although anyone from a Science background can apply for the Data Science course, the field becomes highly remunerative for students with a knack for computer programming.?

Besides students from the STEM background, this Data Science certification course can also be pursued by business professionals. If you have a BBA or MBA, you can pursue a Program in Data Science and Analytics and excel in preparing CRM and MIS reports and Data Quality Assessment or DQA.

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