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- Post Graduate Program in Business Analytics and Visualization
Post Graduate Program in Business Analytics and Visualization (PGP-BA&V)
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
8-10 Hours Per Week
|
Course and certificate fees
Fees information
₹ 100,000 (Inclusive of GST)
The fees for the course Post Graduate Program in Business Analytics and Visualization is -
| Head | Amount |
| Programme fees | Rs. 1,00,000 |
certificate availability
Yes
certificate providing authority
Amity Future Academy
The syllabus
Module 1 – The Science of Data Driven Decision Making
Module 2 – Fundamental Data Analysis to Real Business Problems
- Describing and Summarizing Data
- Sampling and Estimation
- Hypothesis Testing
- Single Variable Linear Regression
- Multiple Regression
Module 3 – Inferential Statistics
- Measuring & Modelling uncertainty
- Bayes Theorem
- Probability and Inferential Statistics - I
- Probability and Inferential Statistics - II
- Discrete Random Variables vs Probability Distributions
- Sampling and Estimation
- Inferential Statistics & Examples of Hypothesis Testing
- Analysis of Variance - ANOVA
Module 4 – Supervised Learning Algorithms
- Linear Regression
- Logistic Regression
- K-nearest Neighbor
- Decision Tree
- Random Forrest
Module 5 – Forecasting Techniques
- Linear optimization
- Optimal solution using Excel solver
- Sensitivity Analysis
- Time series analysis
- Exponential smoothing
- ARIMA modelling
Module 6 – Optimization Analytics Techniques
- Clustering
- Prescriptive Analytics
- Association Rule
- Variables
- Constraints
- Objective function
Module 7 – Dimension Reduction Techniques
- Model Diagnosis
- Outlier Analysis
- Principal Component Analysis
- Factor Analysis
Module 8 – Ensemble Learning Techniques
- Resampling method
- K-fold cross validation method
- Bagging and boosting
- Gradient boosting
- Bootstrapping
Module 9 – Primer on Big Data and Artificial Intelligence
- Data Mining
- Data Mining with traditional tools and technologies
- Data mining with Big Data and Advanced Techniques
Instructors
Articles
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