Post Graduate Data Analyst Program


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Master the Analytical skills and redefine your career with Post Graduate Data Analyst Program by Henry Harvin® | Build a strong Data Analytics foundation with the Analytics fundamentals | Designed by experts with real-life projects and industry-related case studies

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Accreditations & Affiliations

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Key Features

Master Certification

Get the prestigious Master Certification for the PGDA Course from Henry Harvin Education + 5 more Certifications to enhance your CV and redefine your Career as a Data Analyst

9 in 1 Program

Training + Projects + Internship + Certification + Placement + E-Learning + Bootcamps + Hackathons + Gold Membership

100% Practical Training

Get Hands-on training on Data Analyst Program with Projects + Focus on Learning While Doing + Popular GCAO Pedagogy

Integrated Curriculum

The Curriculum of the Post Graduate Data Analyst Program is well-designed by our subject matter experts and is curated to make you ‘Industry ready’ to meet the challenges of the global job market

Mobile App Access to Moodle E-Learning Portal

You can access the exclusive Learning Management System (LMS) on the go. Use the login credentials to use the Moodle app on your phone and get access to the PGDA Course at the tip of your fingers

24x7 Lifetime Support & Access

Live Projects + Guaranteed Internship + Weekly Job Support + Recorded Videos + Monthly + Bootcamp Sessions + Interview Skills + Career Services

About the Post Graduate Data Analyst Program

Why Post Graduate Data Analyst Program?

All the Industry generates millions of data every day that is unstructured. These data are important for any organization and to structure these data, the firm would require an effective algorithm. Data Analytics structures these data and helps to improve efficiency and make smart decisions.

The Post Graduate Program in Data Analytics will help the candidate, gain various essential skills required as a Data Analyst. The Program is designed by industry experts to help the candidate achieve specific job roles stated below

Roles of a Data Analyst

  • Data Architect
  • Applications Architect
  • Infrastructure Architect
  • Enterprise Architect
  • Data Engineer
  • SQL Developer

9 in 1 Program

  • Training: 6 Months of Live Online Interactive Classroom Sessions
  • Projects: Facility to undergo projects in Power BI, Tableau, SQL, and more
  • Internship: Internship Assistance to gain practical experience of the learnings
  • Certification: Distinguish your profile with the global credential of Post Graduate Data Analyst Program and showcase expertise by using the Hallmark of PGDA next to your name. For example Sahil Kumar (PGDA) with 6 Course Certifications
  • Placement: 100% Placement Guarantee Support for 1-Year post successful completion
  • E-Learning Access with Abundant Tools and Techniques, video content, assessments, and more
  • Bootcamps: Regular Bootcamps spread over the next 12 Months
  • Hackathons: Free Access to #AskHenry Hackathons and Competitions
  • Membership: Get 1-Year Gold Membership of Henry Harvin® Analytics Academy for the Post Graduate Data Analyst Program

Trainers at Henry Harvin®

  • Most respected industry experts with 17+ years of working experience
  • Carefully selected by our training partners and recognized by numerous organizations over the years for their work
  • Have been invited for 100+ keynote classes for Post Graduate Data Analyst Program Classes
  • Have delivered 350+ lectures and are currently empaneled as domain experts with Henry Harvin® Analytics Academy

Alumni Status

Become a part of the Elite Analytics Academy of Henry Harvin® & join the 3,00,000+ strong Alumni Network Worldwide

Gold Membership Benefits

  • Avail 1-Year Gold Membership of Henry Harvin®️ Analytics Academy that includes E-Learning Access through recorded Videos, Games, Projects, CPDSPe Studies
  • Free Bootcamp Sessions for 1-Year
  • Earn the Prestigious Henry Harvin®️ Alumni Status and become one of the reputed 3,00,000+ Alumni across the globe Guaranteed Internship with Henry Harvin®️ or partner firms
  • Weekly 10+ job opportunities offered
  • Experience Industry Projects during the training

Learning Benefits

  • Take Actionable Data-Driven Decisions to increase market share
  • Develop Intrinsic Understanding of How Table Calculations Work
  • Create Effective Presentations using Stories
  • Understand Data/KPIs and the Importance of Data Visualization
  • Connect Tableau to other Sources effortlessly
  • Gain knowledge about Relational Databases, SQL Commands, and Statements.
  • Be Aware of JOIN; Inner, Left, Right, Full Outer, and Cross JOIN
  • Understand Data-Time functions of SQL, inclusive of Date and Time and Age functions
  • Know the basics of VBA and its analysis
  • Acquire knowledge about Power Query and User-Defined Functions

Recognitions of Henry Harvin® Education

  • Winner of Top Corporate Training Award, Game-Based Learning Company of the under 40 Business World Award
  • Affiliated with American Association of EFL, Ministry of Corporate Affairs, MSME, UKAF, UKCert, Project Management Institute (PMI), and ISO 29990:2010 certified
  • Reviews: 1400+ Google Reviews, 200+ Youtube Testimonials with 4.5+ RatingRated on Goabroad, Trustpilot, GoOverseas & more

Career Benefits

  • Become eligible for Data Analytics Jobs demanding background
  • Get exposed to a wide range of opportunities Worldwide, demanding Specialization
  • Support a Startup with ROI 
  • Upgrade your Biz Card with Hallmark of Global Credential- PGDA added next to your name
  • Distinguish your profile from peers during Job Interviews
  • Get Promoted in Current Profile with most in-demand skills
  • Fill the Void of Millions of untapped High-Paying Jobs in Data Analytics with Talent Shortage
  • Improve your CV & LinkedIn Profile with Technical and Professional development

Know the complete offerings of our Post Graduate Data Analyst Program

Frequently Bought Together

Post Graduate Data Analyst Program Curriculum

The next step to becoming a data scientist is learning R—the most in-demand open source technology. R is the most powerful Data Science and analytics language, which has a steep learning curve and vigorous community. Data Science with R is becoming the technology of choice for organizations that are adopting the power of analytics for competitive expedience.

Key Learning Objectives 

- Gain a substantial understanding of business analytics

- Install R, R-studio, and workspace setup, and learn about the various R packages

- Master R programming and understand how various statements are executed in R

- Gain an in-depth understanding of data structure used in R and learn to import/export data in R

- Define, understand and use the various apply functions and dplyr functions

- Understand and use the various graphics in R for data visualization

- Gain a basic understanding of various statistical concepts

- Understand and use hypothesis testing method to drive business decisions

- Understand and use linear, non-linear regression models, and classification techniques for data analysis

- Learn and use the various association rules and Apriori algorithm Learn and use clustering methods including K-means, DBSCAN, and hierarchical



Course curriculum 

Module 1 - Introduction to Business Analytics

Module 2 - Introduction to R Programming

Module 3 - Data Structures

Module 4 - Data Management in R

Module 5 - Advanced Data Visualization

Module 6 - Descriptive Statistics in R

Module 7 - Regression Analysis

Module 8 - Decision Tree: Classification

Module 9 - Clustering: K-means and Hierarchical

Module 10 - Association Rule Analysis

This Data Science with Python course will set up your mastery of Data Science and analytics techniques using Python. In this Python for Data Science course, you will learn the essential concepts of Python programming and gain in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping, and natural language processing

Key Learning Objectives 

- Learn an in-depth understanding of Data Science processes, data wrangling, data exploration, data

   visualization, hypothesis building, and testing Install the required   

- Understand Python environment and other auxiliary tools and libraries

-  Understand the essential concepts of Python programming such as data types, tuples, lists, dicts,

   basic operators, and functions   

- Perform high-level mathematical computing using the NumPy package and its vast library of

    mathematical functions 

- Carry out scientific and technical computing using the SciPy package and its sub-packages such  

    as Integrate, Optimize, Statistics, IO, and Weave      

-   Carry out data analysis and manipulation using data structures and tools provided in the Pandas


-   Gain an in-depth understanding of supervised learning and unsupervised learning models such as  

   linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline

-   Use the Matplotlib library of Python for data visualization

-   Extract useful data from websites by performing web scraping using Python


Course curriculum 

Lesson 1 - Data Science Overview

Lesson 2 - Data Analytics Overview

Lesson 3 - Statistical Analysis and Business Applications

Lesson 4 - Python Environment Setup and Essentials

Lesson 5 - Mathematical Computing with Python (NumPy)

Lesson 6 - Scientific Computing with Python (Scipy)

Lesson 7 - Data Manipulation with Pandas

Lesson 8 - Data Visualization in Python using Matplotlib

Gain Substantial Knowledge into the R Programming language with this introductory course. An essential programming language for data analysis, R Programming is a fundamental key to becoming a successful Data Science professional. In this course, you will learn how to write R code, learn about R’s data structures, and create your own functions using R. On completion of this course, you will be able to handle and create data analysis


Key Learning Objectives

- Learn about math, variables, and strings, vectors, factors, and vector operations

- Gain fundamental knowledge on arrays and matrices, lists, and data frames

- Get an understanding of conditions and loops, functions in R, objects, classes, and debugging

- Learn how to accurately read the text, CSV, and Excel files. Learn how to write and save data objects in R to a file

- Understand the working of strings and dates in R


Course curriculum 

Lesson 1 - R Basics 

Lesson 2 - Data Structures in R 

Lesson 3 - R Programming Fundamentals 

Lesson 4 - Working with Data in R 

Lesson 5 - Handling Data in R

Get ahead with your learning of Python for Data Science with this introductory course and familiarize yourself with programming. Upon completion of this course, you will be able to write your Python scripts, perform fundamental hands-on data analysis using the Spyder/Jupyterbased lab environment.


Key Learning Objectives 

- Start creating the First Python program by implementing concepts of variables, strings, functions, loops, conditions

- Understand the modulation of lists, sets, dictionaries, conditions and branching, objects and classes

- Work with data in Python such as reading and writing files, loading, working, and saving data with Pandas


Course curriculum 

Lesson 1 - Python Basics

Lesson 2 - Python Data Structures

Lesson 3 - Python Programming Fundamentals

Lesson 4 - Working with Data in Python

Lesson 5 - Working with NumPy Arrays


The Business Intelligence course curriculum is composed of modules which impart the essential knowledge along with developing interest and curiosity. You will earn a Henry Harvin certificate when you have put your learnings to the test and come out a winner. Once you have completed all requirements about the Business Intelligence course, our trainers would be honored to hand over the Course completion certificate to you, in person!

Learning Objectives

  • Master Business Intelligence using Power BI
  • Master Business Intelligence using Power BI
  • Create Powerful Storylines Presentation to Executives
  • Develop Intrinsic Understanding of How Table Calculations Work
  • Create Effective Presentations using Stories
  • Easily Implement Advanced Mapping Techniques
  • Understand Data/KPIs and Importance of Business Intelligence
  • Create Highly Interactive Dashboards
  • Easily Create Charts of any Type

Course Curriculum

  • Module 1: Business Intelligence (BI) Concepts
  • Module 2: Microsoft Power BI (MSPBI) Introduction
  • Module 3: Connecting Power BI with Different Data Sources
  • Module 4: Power Query for Data Transformation
  • Module 5: Data Modelling in Power BI
  • Module 6: Reports in Power BI
  • Module 7: Reports & Visualization Types in Power BI
  • Module 8: Dashboards in Power BI
  • Module 9: Data Refresh in Power BI
  • Module 10: Projects — End to End Data Modelling & Visualization


The tableau course will help the candidate master the data visualization using tableau and create Powerful storylines presentations to executives. Learn to develop an intrinsic understanding of table calculations work. Understand Data/KPIs and the Importance of Data Visualization and Create Highly Interactive Dashboards. Work on Real Life Business Problems Proficiently

Learning Benefits

    • Master Data Visualization using Tableau
    • Create Powerful Storylines Presentation to Executives
    • Develop Intrinsic Understanding of How Table Calculations Work
    • Create Effective Presentations using Stories
    • Easily Implement Advanced Mapping Techniques
    • Understand Data/KPIs and the Importance of Data Visualization
    • Create Highly Interactive Dashboards
    • Easily Create Charts of any Type
    • Connect Tableau to other Sources effortlessly
    • Work on Real Life Business Problems Proficiently

Course Curriculum

  • Module 1: Introduction to Data Visualization and Power of Tableau
  • Module 2: Architecture of Tableau
  • Module 3: Working with Metadata and Data Blending
  • Module 4: Creation of Sets
  • Module 5: Working with Filters
  • Module 6: Organizing Data and Visual Analytics
  • Module 7: Working with Mapping Preview
  • Module 8: Working with Calculations and Expressions
  • Module 9: Working with Parameters Preview
  • Module 10: Charts and Graphs
  • Module 11: Dashboards and Stories
  • Module 12: Tableau Prep
  • Module 13: Integration of Tableau with R and Hadoop

SQL is the Leading Programming Language for relational databases. Manage and Code relational databases and database-driven applications. Create MySql database and database design. Master the Core Concepts. American National Standard Institute considers SQL as the most standard database

Learning Objectives

  • Learn about SQL and its Installation.
  • Gain knowledge about Relational Databases, SQL Commands, and Statements.
  • Be Aware of JOIN; Inner, Left, Right, Full Outer, and Cross JOIN.
  • Learn about String Functions of SQL
  • Develop an understanding of Mathematical Functions of SQL
  • Understand Data- Time functions of SQL, inclusive of Date and Time and Age functions

Course Curriculum

  • Module 1: SQL Overview
  • Module 2: SQL Manipulation
  • Module 3: JOIN
  • Module 4: String Functions
  • Module 5: Mathematical Functions
  • Module 6: Data-Time Functions
  • Module 7: Tuning Tips

No. 1 Ranked Advanced Excel Course in India. Learn to apply Advanced Formulas, Perform Data analysis & Data Visualization, and create Pivot tables & dashboards. This course will provide comprehensive knowledge of MS Excel and its function. The learner will be equipped with the knowledge about Power query and user-defined functions with skills in Advanced VBA

Key Learning Objectives

  • Gain basic knowledge of MS Excel
  • Work flawlessly with the Basic Excel Function
  • Understand the Advanced Excel Functions and work with it
  • Get introduced to Lookup Functions
  • Learn the essential functions of Excel and the Pivot Table
  • Know the basics of VBA and its analysis
  • Acquire knowledge about Power Query and User-Defined Functions
  • Get Acquainted with the Basics of Advanced Excel
  • Acquire Knowledge of Advanced VBA
  • Learn to work with Advanced Excel Functions

Course Curriculum

  • Module 1: Introduction to MS Excel
  • Module 2 Working with Basic Excel Functions
  • Module 3:Understanding Advanced Excel Functions
  • Module 4: Introduction to Lookup Functions
  • Module 5: Pivot Table and Essential Functions of Excel
  • Module 6: Basic of VBA and What-If Analysis
  • Module 7: Power Query and User-Defined Functions
  • Module 8: Advanced Excel Functions
  • Module 9: Advanced VBA
  • Module 10: Advanced Excel

Capstone Projects are hands-on projects that let you apply what you’ve learned in a Specialization to a practical question or problem related to the Specialization topic. In this Section, you will be able to apply all the skills and knowledge acquired throughout the course.

Key Learning Objectives

  • Learn about Data Processing and Data Cleaning: You will learn how to handle the data set and manage it with analytical tools
  • Applying the correct Models for the projects: Applying all the techniques learnt by understanding the data
  • Representing Results: You will be able to write report and represent the outcome of your analysis


Actionable insights for improving sales of a consumer durables retailer using POS data analytics

Techniques used: Market Basket Analysis, RFM (Recency, Frequency, Monetary) Analysis, Time Series Forecasting


Customer engagement and brand perception of Indian ecommerce and social media approach

Techniques used: Text Mining, K Means Clustering, Regression Trees, XGBoost, Neural Network

Web & Social Media

Trapping Social Media exchanges on Twitter


Customer engagement and brand perception of Indian e commerce- A social media approach

Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART


Personal insurance digital assistant

Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis

Entrepreneurship /Startups

Start-up insights through data analysis

Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest

Finance & Accounts

Vendor invoicing grief project

Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

Industry or ‘Smart Factory’ is moving towards its Mega Trends: “Automation”. The incorporation of Cyber-Physical System (CPS), IIoT, IoT, Cloud Computing, Robotic Process Automation (RPA), and Artificial Intelligence, helps in increasing Human productivity with Cost-Effectiveness. The Arena of Industry 4.0 subjugates through a Centralized Control over almost all Mega Trends in the Industry like Automation in Production, Home, Factories, Vehicles, and Smart Cities. Industry 4.0 enables us with Simulation Tools for live monitoring that defines the Industrial Revolution or Industry 4.0

Key Learning Objectives

  • Be well Acquainted with RPA and CPS
  • Be Familiar with Technologies linked with IIoT and IoT
  • Be Aware of Cyber Security Systems in accordance with Smart Factory
  • Learn and Practise Artificial Intelligence using Big Data Analysis
  • Get an Insight of Industry 4.0 and be Part of Industrial Development Globally

Module 1: Neural Network

This module will equip the candidate with the knowledge of Nural Networks. Gain Comprehensive knowledge about the Activation Functions and feedforward neural network. Learn about backpropagation and gradient descent. Know about the full connected layer forward and backward pass. Get acquainted with Data Preprocessing, Data Augmentation, weight initialization, working with google collab, and more

Module 2: Computer Vision

This module will help the candidate to gain knowledge of Computer Vision. Learn to work with images. Gain knowledge about Convolutions 2D for images. Know about the CNN architectures. Get acquainted with the knowledge of Semantic segmentation using UNet, and more

Module 3: Natural Language Programming (NLP)

This module will equip the candidate with the knowledge of Natural Language Processing. Learn the Preprocessing in NLP-Tokenization, Lemmatization, Stemming, Normalisation, Stop words, BOW, TF-IDF. Know about Word embedding, POS Tagging, LSTM application, Encoder-Decoder attention, and more

Statistics is the discipline of allocating a prospect through the classification, collection, and analysis of data. A substructure part of Data Science, this Course helps you in defining the statistical terms. The Course explains measures of central tendency and dispersion and comprehended skewness, correlation, regression, distribution. It will enable you to make data-driven predictions through statistics and essential application of it. Key Learning Objectives

  • Learn the fundamentals of statistics
  • Collaborate with different types of data
  • How to organize different types of data
  • Compute the measures of central tendency, asymmetry, and variability
  • Evaluate correlation and covariance
  • Distinguish different types of distribution and work on it
  • Estimate confidence intervals
  • Perform and Evaluate hypothesis testing
  • Make data-driven decisions
  • Know comprehensively the mechanics of regression analysis
  • Carry out regression analysis
  • Use and understand dummy variables

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Get Ahead with Henry Harvin® Post Graduate Data Analyst Program Certification

  • Earn your Certification

    Our Post Graduate Data Analyst Program is exhaustive and this PGDA Training Certification is proof that you have taken a big leap in mastering the domain

  • Differentiate yourself with a Henry Harvin® Certification.

    The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition

  • Share your achievement

    Talk about it on LinkedIn, WhatsApp, Instagram, Facebook, Twitter boost your resume or frame it - tell your friends and colleagues about it

Our courses and Course Certificates are trusted by these industry leaders

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Why Henry Harvin for Post Graduate Data Analyst Program

12+ Webinars of Bootcamp Sessions

As part of our #AskHenry Series, brush up your concepts with our regular Bootcamp sessions held every month with the experts in the field specifically targeted to make you industry-ready

Experienced Faculty

The Trainers are qualified industry experts who have more than a decade of experience in the field of Data Analytics Training

100% Placement Support & Highly Valued LMS

Get 24x7 Lifetime Access to Web + Mobile-Based App with Abundant Data Sets, Case Studies, Useful Content, Recorded Videos, PPT, and Study Notes

Attend Unlimited Batches with Different Instructors for the Next 1 Year

Once enrolled at our Analytics Academy, you have the facility to attend different batches with different trainers. This means you can have unlimited repetitions of the Post Graduate Data Analyst Program during your membership period without paying anything extra.


Henry Harvin® Educations the privilege to get affiliations from the American Association of EFL, PMI, UK Cert, UKAF, MSME & Govt. of India

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Post Graduate Data Analyst Program Training Certification Process


Counselling and Registration

Consult with our counselors to check your eligibility and the right batch, and then Register for the Post Graduate Data Analyst Program


Complete Henry Harvin® Post Graduate Data Analyst Program

Attend 6 Months Training for of the PGDA Program and achieve the certification


Deliver Projects Assigned

Gather experience with real-world assignments and practical projects to upgrade your existing skills. Deliver these mini-projects to be eligible for Henry Harvin® PGDA Certification


Earn PGDA Certification

Post-successful completion of the Program, earn Henry Harvin® PGDA Certification. Post it on social media, get it framed, and increase your value in the industry

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