PROGRAMME OBJECTIVE
Enhancing managerial decision making capability by analysis of data and helping organization with smarter choices.
4 INTERNATIONAL CERTIFICATIONS IN ONE PROGRAMME
6 MONTHS POST PROGRAMME ACCESS AND SUPPORT
STUDY MATERIAL
KNOWLEDGE SHARING SESSIONS, PROJECT PRESENTATIONS AND REVIEWS
LIFE TIME PLACEMENT SUPPORT
BUILDING ANALYTICAL MINDSET
100% PRACTICAL CASE BASED LEARNING
ACCESS TO MULTIPLE WORKSHOPS AND WEBINARS BY INDUSTRY EXPERTS
MAXIMUM NUMBER OF CASES (35) AND PROJECTS (4)
PG Program in Data Science & Analytics
The program includes following modules:
Module 1: Advanced Excel
- Data Validation and Management
- Functions & Formulae
- What if Analysis and its applications
- Advance Features in Pivot Tables
- Data Tables Creating dashboards and Visualization
- Advanced Tips and Tricks
Module 2: Statistics And Mathematics
- Descriptive statistics
- Inferential statistics
- Probability distributions
- Parametric & Non- Parametric
- Hypothesis Testing
- Basics of algebra
- Matrices and determinants
- Basics of calculus
Module 3: Relational Databases And SQL
- Usage of SQL and NoSQL databases in Data Science
- Working with SQL tables
- Basic and Advanced Queries
- Aggregating and Grouping Data with SQL
- Joins in SQL
- Introduction to NoSQL
Module 4: Programming In Python
- Data types, Expressions & Control Structures
- Functions & Formulae
- Lists and Other Sequences
- File Handling
- Important Libraries (Numpy, Pandas etc.)
- Visualization using inbuilt libraries
- Reguar Expressions
Module 5: Programming In R
- Data Types and Data Structures
- Loops, Conditions and functions
- Data wrangling using dplyr
- Working with Tidyverse
- Data visualization using ggplot
Module 6: Modeling And ML
- The essence of modeling, ML and AI
- Modeling for Regression, Classification and Clustering
- Neural Networks and Deep Learning
- Dimension Reduction algorithms
- Natural Language Processing
- Implementation of machine learning
- Measuring and Evaluating Model Performance
- Solving Business Problems with the right models and techniques
Module 7: Modeling And ML
- Introduction to visualization Art of storytelling
- Building compelling visualization
- Importance of the right graphics and colors
- Deep Dive into Tableau
- Building dashboards and creating stories using Tableau
- Working with Power Point Presentation for Executives
Module 8: Capstone Project
- Solving a real business problem with all the skills attained
- Learning how to implement the solution in production
- Learning the art of prescriptive analytics
- Story telling and presentation skills
YOUR SUCCESS IS OUR PROGRESS
