SPJIMR - Executive Certificate Program In Big Data Analytics

Executive Certificate Program In Big Data Analytics
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Overview

Executive Certificate Program In Big Data Analytics

Table of content

Who should do this course?

Graduates, Working Professionals who are aspiring to make a career in Big Data Analytics
Database & Data Warehouse professional who want to make a foray into field of Analytics
Department Heads and other senior managers who want to understand the role of Big Data in managerial decision making
Marketing and Business Managers seeking to apply analytics to improve business performance
Working knowledge of RDBMS preferred

What are the course deliverables?

Certificate of Completion from SPJIMR
Course content and structure designed by SPJIMR
Hands on practical exposure to Data Mining and Data Visualization tools
Lectures imparted by eminent faculty from SPJIMR
Guest lectures by Industry experts
Live & Interactive Digital Learning - Live tutored classes not recorded sessions
Student relationship managers for dedicated support for all requirements of the students
Interactive live sessions with Industry stalwarts
Scheduled classes at convenient timings for working professionals
Classroom based learning - Interactive in session peer to peer and with faculty discussions for in-depth learning
Mobile platform enabled - Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers

More about this course

This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help students to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making.
Students will also learn how to use and apply selected data analytics software. This course will benefit students who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. During the course, students will work on small projects in the area of data mining and data visualization and gain hands on experience.