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Get the prestigious Skill Diploma from Jain Online University after the completion of the course
Training + Projects + Internship + Certification + Placement + E-Learning + Bootcamps + Hackathons + Gold Membership
Get Hands-on training on Data Analyst Program with Projects + Focus on Learning While Doing + Popular GCAO Pedagogy
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
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
Capstone Projects + Guaranteed Internship + Weekly Job Support + Recorded Videos + Monthly + Bootcamp Sessions + Interview Skills + Career Services
Maximum salary hike
150%Average salary hike
80%Hiring partners
2100+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
Become a part of the Elite Analytics Academy of Henry Harvin® & join the 3,00,000+ strong Alumni Network Worldwide
Know the complete offerings of our Post Graduate Data Analyst Program
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
clustering
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
package
- 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
Course Curriculum
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
Course Curriculum
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
Course Curriculum
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
Course Curriculum
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
Retail
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
E-commerce
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
Banking
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
Insurance
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
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
Know the complete offerings of our Post Graduate Data Analyst Program
Data Analytics
Data Visualization Tableau and Power BI
Statistical Analysis using Excel
Clustring using Kmeans
Linear and logistic Regression modules
Supervised Learning
Data Analysis using Python and R
Know more about 50+ tools covered in this Post Graduate Data Analyst Program
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
The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition
Talk about it on LinkedIn, WhatsApp, Instagram, Facebook, Twitter boost your resume or frame it - tell your friends and colleagues about it
Know more about the value of this certificate in the industry
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
The Trainers are qualified industry experts who have more than a decade of experience in the field of Data Analytics Training
Get 24x7 Lifetime Access to Web + Mobile-Based App with Abundant Data Sets, Case Studies, Useful Content, Recorded Videos, PPT, and Study Notes
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
Know more about what makes Henry Harvin Post Graduate Data Analyst Program Best in the Industry
Consult with our counselors to check your eligibility and the right batch, and then Register for the Post Graduate Data Analyst Program
Attend 6 Months Training for of the PGDA Program and achieve the certification
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
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
Know more about how Henry Harvin alumni is making use of this Post Graduate Data Analyst Program certification