Post Graduate Diploma/Executive Diploma in Data Analytics (PGDDA/EDDA)

Data refers to a collection of data that cannot be processed in a timely manner using traditional database applications. Data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. This program is designed to equip students and professionals with the analytical, statistical, and computational skills required to handle large datasets and derive actionable insights for business, healthcare, finance, marketing, and more.

The Post Graduate Diploma / Executive Diploma in Data Analytics is highly beneficial for a wide range of individuals, including fresh graduates from diverse backgrounds (science, commerce, arts, engineering) looking to build a career in analytics, and working professionals across industries such as IT, finance, healthcare, marketing, and supply chain aiming to upskill or transition into data-driven roles. It is ideal for managers, entrepreneurs, and decision-makers who want to enhance strategic planning through data insights, as well as software developers and IT experts seeking to expand into data engineering or machine learning. Finance professionals, healthcare workers, and marketing specialists can leverage analytics to gain a competitive edge in their domains. Additionally, it supports students preparing for higher studies or research, and even government or NGO employees working in policy, planning, or M&E. Overall, the program serves anyone aspiring to enter the fast-growing field of data analytics and build a future-ready, in-demand career. 

Module 1: Introduction to Data Analytics

• What is Data Analytics
• Types: Descriptive, Diagnostic, Predictive, Prescriptive
• Types of data: qualitative and quantitative/primary vs. secondary
• Data Analytics Life Cycle
• Use of various data collection techniques across various business domains (business, healthcare and finance) 

Module 2. Data Types, Data Collection & Cleaning

• Types of data: Structured vs Unstructured
• Sources: Databases, APIs, Web scraping, Surveys
• Data cleaning techniques (handling missing data, duplicates, outliers)
• Tools: Python (pandas), Excel, OpenRefine

Module 3. Statistics for business applications

• Descriptive statistics (mean, median, mode, variance, etc.)
• Inferential statistics (sampling, confidence intervals, hypothesis testing)
• Correlation vs Causation
• Probability basics
• Distributions (normal, binomial) 

 Module 4. Data Analysis with Excel / Google Sheets

• Functions (VLOOKUP, IF, COUNTIF, etc.)
• Pivot Tables
• Charts and Dashboards
• Conditional formatting 

Module 5. Python for Data Analytics

• Python basics (variables, loops, functions, data structures)
• Libraries:
• pandas for data manipulation
• numpy for numerical operations
• matplotlib & seaborn for visualization
• Exploratory Data Analysis (EDA) in Python 

Module 6. SQL for Data Analytics

• SELECT, WHERE, GROUP BY, JOIN, ORDER BY
• Aggregations
• Subqueries & Common Table Expressions (CTEs)
• Hands-on with real-world datasets (using SQLite, MySQL, or PostgreSQL) 

Module 7. Data Visualization

• Principles of effective data visualization
• Tools:
• Excel
• Python (Matplotlib, Seaborn)
• Power BI / Tableau / Google Data Studio
• Dashboards and storytelling with data

Module 8. Introduction to Big Data

• What is Big Data?
• Hadoop & Spark overview
• Hive and SQL on Hadoop
• Real-world big data use case

Module 9. Predictive Analytics, AI-ML for business data

• Introduction to AI-ML
• Regression, Classification
• Model evaluation metrics
• Tools: Scikit-learn
• Generative AI and Agentic AI

Module 10. Case Studies: Application of Data Analytics in various business sector

• Data Analytics for Product Strategy
• Data Analytics for Finance, Marketing and E-commerce Strategy
• Data Analytics for Health Care and Pharma
• Data Analytics for Supply Chain Management
• Data Analytics for Digital and Social Media

Eligibility

Graduates in any discipline are eligible for our Post Graduate Diploma and Professional Certification Programmes. For Executive Diploma programmes you need to have at least 1 year of work experience.

Programme Duration

12 months for the Post Graduate Diploma and 6 months for the Executive Diploma.

Programme Mode

Registrations are currently open for regular and online both modes.

Programme Deliverables

A comprehensive study material for all the modules in hard copies ensuring the needs of the audience. The accompanying training material is appropriately aligned with the current Industry’s expectations.

• Assignments for all the programme modules for continuous evaluation and guidance.
• Interactive or online live sessions on all key areas of the programme giving all flexibility to the participants.
• Online classes for all the modules will be conducted on the weekends. Moreover, a doubt clearing session will also be scheduled before the examination.
• All the efforts are made by IGMPI faculty members to make the entire programme modules easily understandable.
• Assessment and evaluation for all the programme modules in order to enhance the levels of competencies and skills of the participants leading towards the objective of application in the job.
• At the end of each programme modules, the trainers shall obtain feedback from the participants using specially designed questionnaires.
• All learning and training delivery initiatives shall be conducted in English.

Examination & Certification

IGMPI follows a credit system based on all learning activities involved in studying for all PG Diploma, Executive Diploma and Certificate Programmes. Each of your modules is equal to 4 credits. To successfully complete the programme, you will have to earn all the credits assigned to your programme.

All the participants are expected to appear for an online exam and are also obliged to submit assignments after each module. After successful completion, the participants will be awarded Post Graduate Diploma/Executive Diploma in Data Analytics by IGMPI. For all the above-mentioned modules, Online Classes (Online mode) or face-to-face classes (Regular mode), elaborate programme material, self-assessment assignments would be provided by the Institute. Details get updated on the webpage as well.

Placement Assistance & Corporate Relations

The Institute has partnered with many organizations for providing with placement assistance to its participants. Besides, it has a robust placement cell comprised of senior level Human Resources professionals and Talent Acquisition experts which maintains close links with business and industry. This cell is continuously engaged in promoting the employability of our participants and encouraging the concerned Human Resources department and Hiring Managers to recruit/hire our participants for their vacant positions. The efforts of our placement cell also include helping with professional resume writing & interview skills.

In recent months the Institute has witnessed more and more participation from professionals working with global pharmaceutical, IT and Healthcare like Abbott Laboratories, Infosys Ltd., Dell Technologies, Accenture, Mobikwik, Novo Nordisk, Merck Group, Optum, American Express, Allegis Group, IBM, Cardinal Health, Wipro Limited, Tata Consultancy Services, Aster DM Healthcare, Merck Group, etc. The IGMPI’s Corporate Resource Division actively recommends our students and training participants for various job requirements and specialized roles to Human Resource, Talent Acquisition as well as the heads of various departments in Pharmaceutical, Healthcare industries on regular basis.

Future career prospects

The future of the Pharmaceutical and Healthcare Industry lies in overcoming barriers to innovation through data analytics optimisation. We need to move past the challenge of unstructured data sets and integrating data from multiple sources to begin to work collaboratively with other departments and organisations and create a real world evidence framework for our pharmaceutical development through effective data utilisation.Healthcare data volume is expected to grow dramatically in hospitals in the years ahead; it is vitally important for healthcare organizations to acquire the available tools, infrastructure, and techniques to leverage data effectively.There is an emerging need for analysts and data scientists who can take full advantage of tools and techniques that are capable of handling unleveraged and presenting results in a simple, easy-to-interpret way.After completion of this programme, professionals can work as Data Analyst, Data Scientist, Data Analytics Consultant, Business Improvement Specialist.

View Prospectus

Apply Online

Last date for submitting completed Application Form is 16^th Jul 2025.

For further enquiries, call or write to us on:
18001031071 (Toll Free -9:00 am to 5:30 pm IST-except on Central Government holidays)/ info@igmpi.ac.in