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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Kashipur |
The Syllabus
Introduction to Business Analytics
- Why Business Analytics?
- Business Analytics Life Cycle - CRISP DM
- Descriptive and Inferential Analytics
- Predictive and Prescriptive Analytics
Tools for Business Analytics – Python Basics
- Data Type and Data Structure
- Operators and Expressions
- Decision Statements
- Loop Control Statements
- Functions and Python Packages
- Working with Files
- Object Oriented Concepts
Statistical Foundations
- Concept of Probability
- Data Distribution
- Gaussian and Poisson Distribution
- Probability and Decision Making
Research Method
- Defining Research Problem
- Quantitative and Qualitative Research Methods
Measurement and Scaling Techniques
- Measurement
- Scaling
Sampling and Data Collection
- Sampling Techniques
- Data Collection
- Missing Data Analysis and Data Cleaning
Report Preparation and Writing
- Types of Report
- Scholarly Report Writing
Reliability and Validity
- Reliability
- Validity
- Principal Component Analysis
Descriptive Analytics
- Central Tendencies
- Application
Inferential Analytics: Hypothesis Testing
- t-test
- Chi-square Test
- ANOVA
- Case Analysis: Business Context (Human Resource Management)
Predictive Analytics: Regression
- Simple Linear Regression
- Multiple Regression
- Dummy Variable Regression
- Regression Diagnostics
- Case Analysis: Business Context (Marketing)
Data Analytics Using Excel
- Introduction
- Importing Data into Excel with Power Query
- Data Analysis with Power Pivot
- Data Analysis with Power Map
Data Analytics Using Tableau
- Introduction to Data Visualisation
- Importance of Data Visualisation
- Tools for Visual Analytics
- Tableau Environment
- Basic Charts in Tableau, Bar, Stacked Bar, Pie, Bubble, Line and Scatter Plot
- Basic Data Manipulation
- Advanced Data Manipulation
- Geographical Data Visualisation
- Storyboards and Dashboards
Supervised Techniques
- Classification
- Logistic Regression
- N-Bayes
- Discriminant Analysis
- KNN
- SVM
- Decision Tree
- Confusion Matrix
- Cost-Benefit Analysis
Unsupervised Techniques
- Clustering
- Clustering Basics
- Hierarchical and DBSCAN K-means Clustering
- Clustering Diagnostics
Automated Data Collection
- Automated Data Collection Using Python
Web Analytics for Business/Organisation
- Social Media Page/Web Account Analytics
- Google Analytics – Metrics and Dimensions
Utilising Text Data for Business Solutions and Strategy
- Text Analytics Basics, Building Corpus
- Document Clustering for Business
- Identifying Topics - Topic Modeling
- Identifying Sentiments - Sentiment Analysis
- Document classification
Personalization for Users and Customers
- Recommender System
- Content-based
- Collaborative Filtering based
- Market Basket Analysis
- Association Rules Mining
Identifying Influencers and Communities for Business
- Social Network Analytics
- Social Network Centrality
- Visualisation of Social Network
Consumer Behavior Analytics
- Conjoint Analysis
- Discrete Choice Analysis
Retail Analytics
- RFM Analysis
Customer Value Analytics
- Calculating Lifetime Customer Value
- Using Customer Value to Value Business
Pricing Analytics
- Price Bundling
- Non-linear Pricing
- Price Skimming and Sales
Revenue Management
Introduction to Optimisation Modeling
- Introduction to Optimisation
- A Two-variable Product Mix Model
- Sensitivity Analysis
- Properties of Linear Models
- Infeasibility and Unboundedness
Optimisation – Application
- Resource Allocation Models
- Logistics Models
- Inventory Models
Decision making under Uncertainty
- Introduction
- Elements of Decision Analysis
- EMV and Decision Trees
- One Stage Decision Problem
- Multistage Decision Problems
- Role of Risk Aversion
Introduction to Simulation Modeling
- Introduction
- Probability Distributions for Input Variables
- Simulation and the Flaw of Averages
- Simulation with Built-in Excel Tools
- Simulation Models – Applications
Markov Chain and Applications
Time Series Analysis and Forecasting
- Forecasting Methods an Overview
- Moving Average
- Exponential Smoothing
- Trend and Seasonal Models
Advanced Time Series Analysis and Forecasting
- Econometric Models
- Autoregressive Integrated Moving Average (ARIMA)
- Box-Jenkins Methodology
Dynamic Econometric Models
Panel Data Regression
HR Analytics
- Using Descriptive Statistics for HR problems
- Hiring Analytics
- Learning and Development Analytics
- Analysis of Attrition - A Predictive Approach
- HR Intervention Analysis
Business Analytics – Building and Executing Data Strategy
Capstone Project
Student Project Presentations
Instructors
Articles
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