2. SYLLABUS
Sr.
No.
Content Learning outcomes
Introduction to Analytics Basic understanding of business analytics
Statistics for Business Analytics Ability to apply various statistical tools and
techniques in the process of business analytics
Advanced Excel Proficiency Use of advanced Excel functions
Understanding R To understand use of R
Data Mining using Decision
Tree
Data mining techniques using R
Data Mining using clustering in
R
Data mining techniques using R
Time Series Forecasting Data mining techniques using R
Predictive Modelling – Logistic
Regression using R
Evaluation of models
Overview of Big Data and
Hadoop
Understand tools of business analytics
Data Analysis and Applications Ability to apply business analytic tools
4. • ANALYSIS : DETAILED EXAMINATION OF THE ELEMENTS OR STRUCTURE OF SOMETHING,
TYPICALLY AS A BASIS FOR DISCUSSION OR INTERPRETATION
• ANALYTICS : THE SYSTEMATIC COMPUTATIONAL ANALYSIS OF DATA OR STATISTICS.
5. DATA ANALYTICS TOOL (COMPUTERSIED / PROGRAMS)
• MICROSOFT EXCEL
• SAS
• R
• PYTHON
• TABLEAU PUBLIC
• APACHE SPARK
• SPSS
6. STATISTICAL TOOL
• MEASURES OF LOCATION (MEAN/ MEDIAN/MODE/ GM)
• MEASURES OF VARIABILITY (RANGE/VARAINCE/SD)
• ANALYSING DISTRIBUTION (Z-SCORES)
• STATISTICAL COUNTING
• HYPOTHESIS TESTING
• SAMPLING METHOD
• REGRESSION
• PROBABILITY DISTRIBUTION
9. DESCRIPTIVE ANALYTICS
• IT MAINLY REVOLVES AROUND GATHERING, ORGANIZING, TABULATING, PRESENTING
AND DEPICTING DATA AND DESCRIBING THE CHARACTERISTICS OF WHAT YOU ARE
STUDYING.
• IT IS MAINLY ABOUT WHAT IS HAPPENING.
• SO, WE HAVE TO TRY TO ANSWER THE QUESTION WHAT IS HAPPENING IN A
PARTICULAR CONTEXT LOOKING AT THE DATA.
• THIS IS ALSO FIRST PHASE OF ANALYTICS, THIS IS WHERE YOU ACTUALLY START, YOU
TRY TO GATHER THE SENSE OF WHAT IS HAPPENING AND THEN YOU LOOK FOR
OTHER THINGS OTHER CATEGORIES OF ANALYTICS.
• THEY DO NOT INFORM WHY THE RESULTS ARE HAPPENING OR WHAT CAN HAPPEN IN
FUTURE
10. PREDICTIVE ANALYTICS
• IT CAN BE USED TO PREDICT THE FUTURE.
• THE MAIN IDEA IS TO IDENTIFY ASSOCIATION AMONG DIFFERENT VARIABLES
AND PREDICT THE LIKELIHOOD OF A PHENOMENA OCCURRING ON THE BASIS OF
THOSE RELATIONSHIPS.
• WE NEED TO UNDERSTAND THE CONCEPT OF CORRELATION TO PREDICT
FUTURE.
11. PRESCRIPTIVE ANALYTICS
• PRESCRIPTIVE ANALYTICS IS ABOUT RECOMMENDING DECISIONS AND WHICH
ENTAILES GENERALLY IN MATHEMATICAL AND COMPUTATIONAL MODEL
• METHODS FROM DISCIPLINES LIKE STATISTICS, FORECASTING, DATA MINING,
EXPERIMENTAL DESIGN THEY ARE USED IN BUSINESS ANALYTICS
• LOTS OF SIMULATIONS TO FIND OUT WHAT CAN BE DONE ABOUT THIS FUTURE
SCENARIO OF THE BUSINESS OR RELEVANT TOPIC.
12.
13. APPLICATIONS OF BUSINESS ANALYTICS
• FINANCE
BA IS OF UTMOST IMPORTANCE TO THE FINANCE SECTOR. DATA SCIENTISTS ARE IN
HIGH DEMAND IN INVESTMENT BANKING, PORTFOLIO MANAGEMENT, FINANCIAL
PLANNING, BUDGETING, FORECASTING, ETC
• MARKETING
STUDYING BUYING PATTERNS OF CONSUMER BEHAVIOUR, ANALYSING TRENDS, HELP IN
IDENTIFYING THE TARGET AUDIENCE, EMPLOYING ADVERTISING TECHNIQUES THAT
CAN APPEAL TO THE CONSUMERS, FORECAST SUPPLY REQUIREMENTS, ETC.
• HR PROFESSIONALS
HR PROFESSIONALS CAN MAKE USE OF DATA TO FIND INFORMATION ABOUT
EDUCATIONAL BACKGROUND OF HIGH PERFORMING CANDIDATES, EMPLOYEE
ATTRITION RATE, NUMBER OF YEARS OF SERVICE OF EMPLOYEES, AGE, GENDER, ETC.
THIS INFORMATION CAN PLAY A PIVOTAL ROLE IN THE SELECTION PROCEDURE OF A
CANDIDATE
• CRM
BA HELPS ONE ANALYSE THE KEY PERFORMANCE INDICATORS, WHICH FURTHER HELPS
IN DECISION MAKING AND MAKE STRATEGIES TO BOOST THE RELATIONSHIP WITH THE
CONSUMERS. THE DEMOGRAPHICS, AND DATA ABOUT OTHER SOCIO-ECONOMIC
FACTORS, PURCHASING PATTERNS, LIFESTYLE, ETC., ARE OF PRIME IMPORTANCE TO
14. • MANUFACTURING
BA CAN HELP YOU IN SUPPLY CHAIN MANAGEMENT, INVENTORY MANAGEMENT,
MEASURE PERFORMANCE OF TARGETS, RISK MITIGATION PLANS, IMPROVE EFFICIENCY
ON THE BASIS OF PRODUCT DATA, ETC.
• CREDIT CARD COMPANIES
CREDIT CARD TRANSACTIONS OF A CUSTOMER CAN DETERMINE MANY FACTORS:
FINANCIAL HEALTH, LIFE STYLE, PREFERENCES OF PURCHASES, BEHAVIORAL TRENDS,
ETC