Business Analytics Module (Advanced) Practice Exam
Business Analytics Module (Advanced) Practice Exam
About Business Analytics Module (Advanced) Practice Exam
Business Analytics (BA) and its related terms such as Business Intelligence, Big Data, Data Mining, etc. have become a powerful tool for growth in the 21st Century. Gartner, a global research firm, predicts that by 2015 nearly 4.4 million new jobs will be created globally by Business Analytics. BA is the process of converting data into insights. It is “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.”
One of the primary users of Business Analytics is the Financial Sector. Models that predict credit quality, investment options, fraudulent credit card transactions and cross-sell / up-sell possibility are very common in banks, insurance companies, credit rating organizations, research houses, etc.
IMS Proschool (a leading education service provider in India) has developed a Certification in Business Analytics that prepares Graduates, Post – Graduates, MBAs for the following roles -
- Analytics Manager
- Analytics Consultant
- Business Analyst
- Business Intelligence Manager
- Data Scientist
The Certification is designed to impart the following skills in Business Analytics:
i. Data Exploration using Statistics
ii. Predictive Analytics: Regression - Multiple, Linear and Logistic, Forecasting
iii. Data Mining Techniques: Classification, Clustering and Market Basket Analysis
iv. Excel, R and SAS
Course Details
- You should pursue this Certification in Business Analytics, if
- You are a working professional who wants to supplement his / her skill sets by learning advanced tools and techniques to perhaps make a job-shift.
- You are a student who wants to start a career in Business Analytics.
- The backbone of Business Analytics is application of mathematical / statistical fundamentals. Hence, candidates should be graduates with a flair for Mathematics and (or) Statistics.
