Virtual tour

Executive Certificate

Program in Data Science

12 months

Visiting faculty from International Universities

12 Months Duration

Speakers from Leading Corporates

Industry Relevant Curriculum

Industry-endorsed curriculum

Capstone Projects

Case-based pedagogy

12 Hour weekly commitment

What is the Executive

Certificate Program in Data Science?

This Executive Certificate Program in Data Science is a short-term professional course that aims to equip executives, managers, and other working professionals with the necessary skills to make data-driven decisions in their organisations. The program will cover topics such as data analysis, data visualisation, statistical modelling, machine learning, and big data management. 

This program is designed to be flexible and convenient especially for Working Professionals. The curriculum is delivered by experienced faculty members and industry experts

An Executive Certificate Program in Data Science can help professionals stay up-to-date with the latest developments in the field of data science and gain a competitive edge in their careers. It can also help organisations leverage the power of data to make informed decisions, drive innovation, and improve business performance.

Program Overview:

Online format with weekly live sessions from industry experts to help with topic walk-throughs, doubt resolution and personalised project feedback. Offline sessions such as Basecamps and Hackathons. 60+ Case studies to choose from as well as a Capstone Project and a Hackathon every quarter to apply learnings.

Curriculum

Pre-Program Prep Content

  • Data Analysis in Excel
  • Analytics Problem Solving

Data Toolkit

  • Introduction to Python
  • Programming in Python
  • Python for Data Science
  • Data Visualisation in Python
  • Exploratory Data Analysis
  • Credit EDA Case Study
  • Inferential Statistics
  • Hypothesis Testing
  • Data Analysis using SQL
  • Advanced SQL & Best Practices
  • SQL Assignment: RSVP Movies

Machine Learning-I

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Classification using Decision Trees
  • Unsupervised learning: Clustering
  • Basics of NLP and Text Mining
  • Business Problem Solving
  • Case Study: Lead Scoring

Specialization 1 : Deep Learning (22 Weeks)

Course 3 - Machine Learning-II

  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML case Study

Course 4 - Advanced Machine learning and Deep Learning

  • Time Series Analysis
  • Introduction to Neural Networks and ANN
  • Neural Network Assignment
  • Convolutional Neural Networks

Course 5 - Advanced Deep Learning and Computer Vision

  • Convolutional Neural Networks -Industry Applications
  • Object Detection & Image Segmentation (Optional)
  • Recurrent Neural Networks
  • Gesture Recognition

Course 6 - Capstone Project

  • Capstone Project

Specialization 2 : Natural Language Processing (22 Weeks)

Course 3 - Machine Learning -II

  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML case Study

Course 4 - Advanced Machine learning and Natural Language Processing

  • Time Series Forecasting
  • Neural Nets for NLP
  • Syntactic Processing
  • Synctactic Processing Assignment

Course 5- Advanced Natural Language Processing

  • Semantic Processing
  • Applied DL in NLP
  • Case Study: Automatic Ticket Classification

Course 6 - Capstone Project

  • Capstone Project

Specialization 3 : Business Analytics (22 Weeks)

Course 3-Advanced Machine Learning

  • Bagging & Random Forest
  • Model Selection & General ML Techniques
  • Time Series Forecasting
  • Model Selection Case Study

Course 4 - Data Visualisation and Storytelling

  • Visualisation using Tableau
  • Advanced Excel
  • Visualisation using PowerBI
  • Structured Problem Solving using Frameworks
  • AirBnB Case Study

Course 5: Solving Business Requirements

  • Operations Research in Excel
  • Data Architecture
  • Data Strategy
  • Business Case Study

Course 6 - Capstone Project

  • Capstone Project

Specialization 4: Business Intelligence/Data Analytics (22 Weeks)

Course 3: Advanced DBs and Big Data Analytics

  • Data Modelling
  • Advanced SQL and Best Practices
  • Introduction to Big Data and Cloud
  • Analytics using Spark
  • Big Data Case Study

Course 4 - Data Visualisation and Storytelling

  • Visualisation using Tableau
  • Advanced Excel
  • Visualisation using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study

Course 5: Advanced Problem Solving and Programming

  • Data Structures – Sets, Dictionaries, Stacks, Queues
  • Searching and Sorting
  • Algorithm Analysis + Recursion
  • Advanced Database Programming using Pandas
  • Python & SQL Lab
  • AirBnB Case Study

Course 6 - Capstone Project

  • Capstone Project

Specialization 5: Data Engineering (22 Weeks)

Course 3 - Data Engineering - I

  • Data Management and Relational Database Modelling
  • Introduction to Big Data(Optional)
  • Introduction to Cloud and AWS Setup
  • Introduction to Hadoop and MapReduce Programming
  • Assignment (Optional)
  • NoSQL Databases and Apache HBase NoSQL Databases and MongoDB(Optional)
  • Data Warehousing (Optional)
  • Data Ingestion with Apache Sqoop and Apache Flume
  • Map reduce Programming Assignment

Course 4 - Data Engineering - II

  • Hive & Querying
  • Assignment (Optional)
  • Amazon Redshift
  • Introduction to Apache Spark
  • Project: ETL Data Pipline
  • AWS Cloud Infrastructure (Optional)

Course 5 - Data Engineering - III

  • Optimising Spark for Large Scale Data Processing
  • Apache Flink(Optional)
  • Real-Time Data Streaming with Apache Kafka
  • Real-Time Data Processing using Spark Streaming
  • Assignment (Optional)
  • Building Automated Data Pipelines with Airflow
  • Analytics using PySpark
  • Project: Real Time data processing

Course 6 - Capstone Project

  • Capstone Project

*We ensure that our curriculum constantly evolves to provide our students relevant academic experiences. In view of the same, the curriculum is subject to change based on industry standards and global benchmarks.

Program

Advantages:

Job Opportunities Portal:
  • Gain exclusive access to a Job Opportunities portal which has 100+ openings from other hiring partners at any given time.

Just-In-Time Interviews
  • Get company and role-specific preparation with mock interviews right before your actual interviews.

Resume Review
  • Obtain specific, personalised inputs on your resume structure and content.

Upcoming Events

Admissions Open 2023

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