ost graduate p data analyst

Post Graduate

Data AnalystProgram

03 Hiring Partners

04 Placement Highlights

05 Program Eligibility Criteria and Application Process

06 Data Analytics Batch Profile

07 About the Program

08 Key Features

09 Program Curriculum

19 Certifications

20 Learning Benefits

21 Career Benefits

22 Our Clientele

23 Media Recognition

24 Reviews & Rankings

25 About Henry Harvin® Education

10 Course 1: Data Science with R

11 Course 2: Data Science with Python

12 Course 3: R Programming for Data Science

13 Course 4: Python for Data Science

14 Course 5: Power BI

15 Course 6: Tableau Course

16 Course 7: SQL Developer

17 Course 8: Advanced Excel

18 Simulated Data Analyst Projects

Table ofContents

Hiring Partners

And 200 more...

Roles

Offered

Data Architect

Business Analyst

Application ArchitectData Analyst

Data Processing Manager

Infrastructure Architect

SQL DeveloperEnterprise Architect

Analytics Manager

200+Participating Companies

32+ LPAHighest CTC

12 LPAAverage CTC

89%Average Salary Hike

Placement Highlights

Summary

Roles Offered

Market Research Analyst

Program Eligibility Criteria and Application Process

Application Process

Eligibility Criteria

For admission to this Post Graduate Data Analyst Program the candidate should have:• A Bachelor degree in any discipline• Current university students in their final year with an average of 50%

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee

Apply by filling a simple online application form

Step 1

Admission Committee will review and shortlist

Step 2

Screening Call with Alumni/ Faculty

Step 3

12% 32%24%9%5% 18%

Freshers < 1 Year 1-2 Years 2-3 Years 2-5 Years 5+ Years

Data Analyst Batch Profile

Experience Distribution

PROJECTS

Facility to undergo projects in Power BI, Tableau, Data Science

with R & More

TRAINING 6 Months of Live Online Interactive Classroom Sessions

PLACEMENT100% Placement Guaran-

tee Support for 1-Year post successful completion

E-LEARNING ACCESSGet access to abundant

tools and techniques, video content, assess-

ments, and more

HACKATHONS Free Access to #AskHenry

Hackathons and Competitions

INTERNSHIP

Guaranteed Internship to gain practical experience of the learnings

CERTIFICATIONDistinguish your profile with the global credential of Post Graduate Data Analyst (PGDA) and show-case expertise by using the Hall-mark of PGDA next to your name. For example Kartik (PGDA)

BOOTCAMPS

Regular Bootcamps spread over the next 12 months

MEMBERSHIPGet 1-Year Gold Membership of Henry Harvin® Analytics Academy for the Post Graduate Data Analyst

9 in 1 Course

About the Course

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01Guaranteed Internship

Post Training

Attend Unlimited Batches with Different Instructors for the next 1 year without paying anything extra

Key Features

12+ Bootcamps as part of the #AskHenry series

24x7 Lifetime Support & Access

Mobile App Access to Moodle E-Learning Portal

Access to 5+ Soft Skills courses to enhance employability

09

100% Placement Guarantee Support for 1 Year

1-Year Gold Membership of Henry Harvin® Analytics Academy

Hallmark of PGDA next to your name, for example, Rishabh Sinha (PGDA)

Data Science

with R

Data Science

with PythonR Programming

for Data Science

SQL Developer

Python for

Data Science

Advanced Excel

Power BI

Simulated Data

Analyst Projects

Tableau

Program Curriculum

Electives• Industry 4.0• Artificial Intelligence• Statistics for Data science

Data Science with R

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

n Gain a substantial understanding of business analyticsn Install R, R-studio, and workspace setup, and learn about the various R packagesn Master R programming and understand how various statements are executed in Rn Gain an in-depth understanding of data structure used in R and learn to import/export data in Rn Define, understand and use the various apply functions and dplyr functionsn Understand and use the various graphics in R for data visualizationn Gain a basic understanding of various statistical conceptsn Understand and use hypothesis testing method to drive business decisionsn Understand and use linear, non-linear regression models, and classification techniques for data

analysisn Learn and use the various association rules and Apriori algorithm Learn and use clustering methods

including K-means, DBSCAN, and hierarchical clustering

Course Curriculum

n Module 1 - Introduction to Business Analyticsn Module 2 - Introduction to R Programmingn Module 3 - Data Structuresn Module 4 - Data Management in Rn Module 5 - Advanced Data Visualizationn Module 6 - Descriptive Statistics in Rn Module 7 - Regression Analysisn Module 8 - Decision Tree: Classificationn Module 9 - Clustering: K-means and Hierarchicaln Module 10 - Association Rule Analysis

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Data Science with Python

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


n Learn an in-depth understanding of Data Science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing Install the required

n Understand Python environment and other auxiliary tools and librariesn Understand the essential concepts of Python programming such as data types, tuples, lists

dicts,basic operators, and functions n Perform high-level mathematical computing using the NumPy package and its vast library of mathe-

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

as Integrate, Optimize, Statistics, IO, and Weave n Carry out data analysis and manipulation using data structures and tools provided in the Pandas

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

linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipelinen Use the Matplotlib library of Python for data visualizationn Extract useful data from websites by performing web scraping using Python

Course Curriculum

n Lesson 1 - Data Science Overviewn Lesson 2 - Data Analytics Overviewn Lesson 3 - Statistical Analysis and Business Applicationsn Lesson 4 - Python Environment Setup and Essentialsn Lesson 5 - Mathematical Computing with Python (NumPy)n Lesson 6 - Scientific Computing with Python (Scipy)n Lesson 7 - Data Manipulation with Pandasn Lesson 8 - Data Visualization in Python using Matplotlib

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R Programming for Data Science

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


n Learn about math, variables, and strings, vectors, factors, and vector operationsn Gain fundamental knowledge on arrays and matrices, lists, and data framesn Get an understanding of conditions and loops, functions in R, objects, classes, and debuggingn Learn how to accurately read the text, CSV, and Excel files. Learn how to write and save data

objects in R to a filen Understand the working of strings and dates in R

Course Curriculum

n Lesson 1 - R Basics n Lesson 2 - Data Structures in R n Lesson 3 - R Programming Fundamentals n Lesson 4 - Working with Data in R n Lesson 5 - Handling Data in R

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Python for Data Science

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


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

n Understand the modulation of lists, sets, dictionaries, conditions and branching, objects and classesn Work with data in Python such as reading and writing files, loading, working, and saving data with

Pandas

Course Curriculum

n Lesson 1 - Python Basicsn Lesson 2 - Python Data Structuresn Lesson 3 - Python Programming Fundamentalsn Lesson 4 - Working with Data in Pythonn Lesson 5 - Working with NumPy Arrays

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Power BI

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!


n Master Business Intelligence using Power BIn Create Powerful Storylines Presentation to Executivesn Develop Intrinsic Understanding of How Table Calculations Workn Create Effective Presentations using Storiesn Easily Implement Advanced Mapping Techniquesn Understand Data/KPIs and Importance of Business Intelligencen Create Highly Interactive Dashboardsn Easily Create Charts of any Type

Course Curriculum

n Module 1: Business Intelligence (BI) Conceptsn Module 2: Microsoft Power BI (MSPBI) Introductionn Module 3: Connecting Power BI with Different Data Sourcesn Module 4: Power Query for Data Transformationn Module 5: Data Modelling in Power BIn Module 6: Reports in Power BIn Module 7: Reports & Visualization Types in Power BIn Module 8: Dashboards in Power BIn Module 9: Data Refresh in Power BIn Module 10: Projects — End to End Data Modelling & Visualization

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Tableau Course

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


n Master Data Visualization using Tableaun Create Powerful Storylines Presentation to Executivesn Develop Intrinsic Understanding of How Table Calculations Workn Create Effective Presentations using Storiesn Easily Implement Advanced Mapping Techniquesn Understand Data/KPIs and the Importance of Data Visualizationn Create Highly Interactive Dashboardsn Easily Create Charts of any Typen Connect Tableau to other Sources effortlesslyn Work on Real Life Business Problems Proficientlye

Course Curriculum

n Module 1: Introduction to Data Visualization and Power of Tableaun Module 2: Architecture of Tableaun Module 3: Working with Metadata and Data Blendingn Module 4: Creation of Setsn Module 5: Working with Filtersn Module 6: Organizing Data and Visual Analyticsn Module 7: Working with Mapping Previewn Module 8: Working with Calculations and Expressionsn Module 9: Working with Parameters Previewn Module 10: Charts and Graphsn Module 11: Dashboards and Storiesn Module 12: Tableau Prepn Module 13: Integration of Tableau with R and Hadoop

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SQL Developer

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


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

Course Curriculum

n Module 1: SQL Overviewn Module 2: SQL Manipulationn Module 3: JOINn Module 4: String Functionsn Module 5: Mathematical Functionsn Module 6: Data-Time Functionsn Module 7: Tuning Tips

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Advanced Excel

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


n Gain basic knowledge of MS Exceln Work flawlessly with the Basic Excel Functionn Understand the Advanced Excel Functions and work with itn Get introduced to Lookup Functionsn Learn the essential functions of Excel and the Pivot Tablen Know the basics of VBA and its analysisn Acquire knowledge about Power Query and User-Defined Functionsn Get Acquainted with the Basics of Advanced Exceln Acquire Knowledge of Advanced VBAn Learn to work with Advanced Excel Functions

Course Curriculum

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

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Simulated Data Analyst Projects

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


n Learn about Data Processing and Data Cleaning: You will learn how to handle the data set and manage it with analytical tools

n Applying the correct Models for the projects: Applying all the techniques learnt by understanding the data

n Representing Results: You will be able to write report and represent the outcome of your analysis

Course Curriculum

n Retail: Actionable insights for improving sales of a consumer durables retailer using POS data analyticsn Techniques used: Market Basket Analysis, RFM (Recency, Frequency, Monetary) Analysis, Time Series

Forecastingn E-commerce: Customer engagement and brand perception of Indian ecommerce and social media

approachn Techniques used: Text Mining, K Means Clustering, Regression Trees, XGBoost, Neural Networkn Web & Social Media: Trapping Social Media exchanges on Twittern Banking: Customer engagement and brand perception of Indian e commerce- A social media approachn Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Ran-

dom Forest, CARTn Insurance: Personal insurance digital assistantn Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysisn Entrepreneurship /Startups: Start-up insights through data analysisn Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forestn Finance & Accounts: Vendor invoicing grief projectn Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

Certifications

in Era duH cayr tin oe n Hv

CERTIFICATE NO: 6202/IND/2378

THIS IS TO CERTIFY THAT

DATE: 10-12-2020

THATA

CEO®

HENRY HARVIN EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

SUBRAMANYAM RAGHUVAMSIDHAR

CERTIFIED DATA SCIENTIST- PYTHON (CDS- P)

HAS SUCCESSFULLY COMPLETED ALL THE REQUIREMENTS OF THE

DATA SCIENCE WITH PYTHON COURSE




DATE: 10-12-2020

THATA

CEO®


HENRY HARVIN®


SUBRAMANYAM RAGHUVAMSIDHAR

CERTIFIED DATA SCIENTIST- R (CDS- R )


DATA SCIENCE WITH R COURSE




DATE: 10-12-2020

THATA

CEO®


HENRY HARVIN®


ANAMIKA APTE

CERTIFIED R PROGRAMMING FOR DATA SCIENCE SPECIALIST

(CRDSS)


R PROGRAMMING FOR DATA SCIENCE COURSE

Learning Benefits

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Take Actionable Data-Driven Decisions to increase market share

Develop Intrinsic Understanding of How Table Calculations Work

Understand Data/KPIs and the Importance of Data Visualization

Gain knowledge about Relational Databases, SQL Commands, and Statements

Create Effective Presentations using Stories

Connect Tableau to other Sources effortlessly

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Be Aware of JOIN; Inner, Left, Right, Full Outer, and Cross JOIN

Know the basics of VBA and its analysis

Understand Data- Time functions of SQL, inclusive of Date and Time and Age functions

Acquire knowledge about Power Query and User-Defined Functions

Tools Covered

Career Benefits

Become eligible for Data Analyst Jobs demanding background

Get exposed to a wide range of opportunities Worldwide, demanding

Specialization Support a Startup with ROI

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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

Improve your CV & LinkedIn Profile with Technical and Professional development

Fill the Void of Millions of untapped High-Paying Jobs in Data Analyst

with Talent Shortage

Our Clientele

CORPORATE CLIENTELE

COLLEGE CLIENTELE

171+ Corporates 109+ Colleges

Media Recognition

37+ Media Recognitions

Reviews & Rankings

1500+ Google Reviews 300+ Youtube Video Testimonials

[email protected]

About Henry Harvin® Education

As a competency and career development organization, Henry Harvin® Education develops, enhances, and promotes select skill-sets that are deemed essential to changing times. Embedding ‘Value Creation’ at the core of its vision, Henry Harvin® Education partners with best in industry organizations and empanels domain experts to transform careers of the diverse audience from industry and academia by harnessing the power of skill centric training programs. These programs are carefully handcrafted to deliver tangible output for its learners by creating a distinguished biosphere of the latest learning technologies, effective content, and experienced trainers. Henry Harvin® Education is inspired by the contributions of Mr.Henry Dunster (First President of America’s Oldest University) to the education industry which has sustained for over 400 years.

About Henry Harvin® Analytics Academy

Henry Harvin® Analytics Academy has been set up with an objective to advance the professionaljourney of Content professionals by upskilling them with key skills. These skills are imparted throughaction-oriented learning solutions that are carefully handcrafted by subject matter experts withextensive industry experience. These learning solutions are delivered using our unique goal-centricpedagogy by select professionals from leading organizations those also impaneled as domainexperts with the academy. This enables the academy in achieving its goal of empowering managersto reach their full professional potential. Henry Harvin® Analytics Academy aims to function in itsoutreach geographies and upskill 200,000 professionals till 2030!

ost graduate p data analyst

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