PG Program - Business Analytics & Business Intelligence
- Offered byGreat Learning
PG Program - Business Analytics & Business Intelligence at Great Learning Overview
Duration | 11 months |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Future job roles | Ethical Hacking, Black Box Testing, Ethics and Complaince, ERP, Estate Planning |
PG Program - Business Analytics & Business Intelligence at Great Learning Highlights
- International Recognition
- Online mentorship
- Course ranked No. 1 in India by AIM
- Career growth
PG Program - Business Analytics & Business Intelligence at Great Learning Course details
- The course is designed for professionals working in the any domain.
- Dedicated workshops on Interview preparation
- Exclusive recruitment drives
- Access to curated jobs
- Career mentorship
- Languages and tools - R, Python, Tableau & SAS (Online Module)
- PG Program in Business Analytics and Business Intelligence (PGP-BABI) is a comprehensive Business Analytics course offered by Great Learning in collaboration with The McCombs School of Business at The University of Texas at Austin and Great Lakes, India. The course covers latest analytics tools and techniques that help you to gain complete knowledge of business analytics and its applications. The course covers exhaustive topics that offer theoritical as well as practical knowledge in business roles.
PG Program - Business Analytics & Business Intelligence at Great Learning Curriculum
Introduction to Business Analytics
R for Data Science
Introduction to R and R-Studio
Dealing with Data using R
Visualization using R
Statistical Methods for Decision Making
Descriptive Statistics
Introduction to Probability
Probability Distributions
Hypothesis Testing and Estimation
Goodness of Fit
Business Finance
Fundamentals of Finance
Working Capital Management
Capital Budgeting
Capital Structure
Marketing and CRM
Core Concepts of Marketing
Customer Life Time Value
Advance Statistics
Analysis of Variance
Regression Analysis
Dimension Reduction Techniques
Data Mining
Introduction to Supervised and Unsupervised Learning
Clustering
Decision Trees
Random Forest
Neural Networks
Predictive Modeling
Multiple Linear Regression
Logistic Regression
Linear Discriminant Analysis
Time Series Forecasting
Introduction to Time Series
Correlation
Forecasting
Autoregressive models
Machine Learning
Handling Unstructured Data
Machine Learning Algorithms
Bias Variance trade-off
Handling Unbalanced Data
Boosting
Model Validation
Optimization Techniques
Linear programming
Goal Programming
Integer Programming
Mixed Integer Programming
Distribution and Network Models
Marketing and Retail Analytics
Marketing and Retail Terminologies
Customer Analytics
KNIME
Retail Dashboard
Customer Churn
Association Rules Mining
Web & Social Media Analytics
Web Analytics: Understanding the metrics
Basic & Advanced Web Metrics
Google Analytics: Demo & Hands on
Campaign Analytics
Text Mining
Finance & Risk Analytics
Why Credit Risk-Using a market case study
Comparison of Credit Risk Models
Overview of Probability of Default (PD) Modeling
PD Models, types of models, Steps to make a good model
Market Risk
Value at Risk - using stock case study
Supply Chain & Logistics Analytics
Introduction to Supply Chain
Dealing with Demand uncertainty
Designing Optimal Strategy using Case Study
Inventory Control & Management
Inventory classification
Inventory Modeling
Costs Involved in Inventory
Economic Order Quantity
Forecasting
Advanced Forecasting Methods
Examples & Case Studies
Data Visualization using Tableau
Introduction to Data Visualization
Introduction to Tableau
Basic charts and dashboard
Descriptive Statistics, Dimensions and Measures
Visual analytics: Storytelling through data
Dashboard design & principles
Advanced design components/ principles : Enhancing the power of dashboards
Special chart types
Case Study: Hands on using Tableau
Integrate Tableau with Google Sheets