Analysis refers to breaking a whole into its separate components for individual examination. Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. Data is collected and analysed to answer questions, test hypotheses or disprove theories.

• IT Systems Analyst
• Healthcare Data Analyst
• Operations Analyst
• Data Scientist
• Data Engineer
• Quantitative Analyst
• Data Analytics Consultant
• Digital Marketing Manager
• Project Manager
• Transportation Logistics Specialist

• Data Management Association International (DAMA)
• Data Science Association
• Digital Analytics Association (DAA)
• International Institute for Analytics (IIA)
• International Machine Learning Society (IMLS)
• Institute for Operations Research and the Management Sciences (INFORMS)
• Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD)

VIT, Vellore

• Course: M.Sc. (Computational Statistics and Data Analytics)
• Eligibility: First class with a minimum of 60% marks at 12th level/ intermediate/CBSE/ICSE/HSC or equivalent with Maths/Statistics/ Computer Science/Business Maths as one of the subject
• Selection Process: 50% 12th marks + Counselling + Interview

Indian Statistical Institute, Kolkata

• Course: Bachelor of Statistics (Honours), Bachelor of Mathematics (Honours)
• Eligibility: an applicant must have successfully completed 10+2 years of Higher Secondary Education (or its equivalent) with Mathematics and English as subjects.
• Selection Process: 2 Written Test + Interview

Chennai Mathematical Institute, Chennai

• Course: BSc (Honours) Mathematics & Computer Science
• Eligibility: 10+2 years of Higher Secondary Education (or its equivalent) with PCM
• Selection Process: Entrance Based

University of Petroleum and Energy Studies, Dehradun

• Course: BBA Analytics and Big Data
• Eligibility: Minimum 50% marks in classes X & XII with Math as compulsory subject in class XII
• Selection Process: Group Discussion & interview

• Statistical Programming
• Programming Languages (R/SAS)
• Creative and Analytical Thinking
• Data Visualization
• SQL Databases
• Database Querying Languages
• Data Mining, Cleaning and Munging
• Advanced Microsoft Excel
• Machine Learning
• Strong and Effective Communication

• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics