Bachelor Graduate Program in Data Science (BGP-DS)

24+12 Months | Physical Interactive Learning | Live Projects & Case Studies | Career Assistance

A comprehensive program in Data Science teaches by most influential industry leaders and world-class faculty.

 Module 1 (Computer Basics)

Microsoft Office- 2019                                       DSU (Digital Secure User)

Computer Assembling and Installation              Fundamentals of Operating System

Computer Networking Basics                            Client Server Architecture

Web Application Fundamentals                         Basic Math’s & Data Structur

Module 2 (Web Frontend UI & UX Design)

• Fundamentals of Web Application Design
• UI & UX (User Interface & User Experience)
• HTML5 (Hyper Text Markup Language)
• CSS3
• Bootstrap
• SASS
• JavaScript
• jQuery
• Introduction of JavaScript Frameworks (React, Angular, Vuejs)
• Project

Module 3 (Data Science using Python)

Introduction to Data Science                                           Data Collection and Cleaning

Python Fundamentals                                                       Control Flow & Functions

Array Computations                                                          Data Manipulation

Visualizing Data                                                                 Web Scraping

Module 4 (Statistical Foundations) 

Introduction to Statistical Analysis                      Exploratory Data Analysis

Introduction to Probability                                   Probability Distribution Functions

Random Processes                                            Inferential Statistics

Module 5 (Machine Learning and NLP) 

Introduction to Machine Learning                      Supervised Learning - Regression

Mathematical and Bayesian Models                  Natural Language Processing

Supervised Learning – Classification

Module 6 (Advanced Machine Learning) 

Dimensionality Reduction                                                Unsupervised Learning Using Clustering

Association Rules Mining & Recommendation Engines   Time Series Analysis                                     Model Evaluation & Hyperparameter Tuning                    Model Boosting & Optimization

                MID-PROGREM PROJECT

Module 7 (AI and Deep Learning) 

Neural Networks with Tensor Flow 2.x                                Deep Learning for Images using CNN

Deep Learning for Sequences using RNN                           Building Games using RL

Module 8 (Data Mining and Warehousing)

Data Warehousing                                                                Data Mining

Data Integration and ETL                                                     Mining Frequent Patterns

Module 9 (Big Data Storage and Analytics) 

Introduction to Big Data and Big Data Mining                           Big Data with Hadoop

Apache HBase and Hive                                                           Data Ingestion

Apache Spark                                                                           Big Data Analytics

In-Class Project

Module 10 (Data Visualization) 

Introduction to Data Visualization                                      Working with Data & Visualizations in Tableau                                                                             Advanced Visualizations                                                    Sharing your Insights

Module 11 (Industry Project)

INTERSHIP

An industry-level project will be a part of your Post-Graduate Certification to consolidate your Learning. This industrial project will ensure that you have accumulated the real-world Experience to start your career as a globally recognized Data Scientist.

For whom

·         Working professionals in IT / Analytics / Statistics / Big Data / Machine Learning Fresh graduates from Engineering / Mathematics / IT backgrounds

·         Professionals looking to develop skills to do statistical analysis to support decision making

·         Final year students completing their graduation on or before December 2020

Eligibility

·         10+2 (PCM) BE / B.Tech / BCA / MCA / B.Sc. (Maths) / M.Sc (Maths) with a minimum of 50% aggregate marks is compulsory.

·         Candidates with Mathematics, Statistics background will be given preference.

A minimum of two years of full-time work experience after graduation or post-graduation is required.

Top 10 Reason chose Data Science

1- High Demand for Data Science Experts. ...

2- Good Work-Life Balance. ...

3- Opportunity to Work with Top Executives. ...

4- A Chance to Empower Management & Company Decision Makers. ...

5- Handsome Salary and Perks. ...

6- A Good Place to Gain Business Knowledge.

7- Leads to a Mindset of Lifelong Learning

8- Low Competition for Available Positions

9- An Opportunity to Work with Big Brands

10- Data Science Is Everywhere