• Next Cohort starts: Oct 24, 2020Limited no. of seats available
  • Program Duration: 8 monthsAt 5-10 hours/week
  • Online BootcampLearning Format

Program Overview

This Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in data analytics and data science, including statistics, Python, R, Tableau, SQL, and Power BI. Upon completion of this program, you will be ready to take on the role of a Data Analytics professional.

KEY FEATURES

  • Purdue Post Graduate Program Certification
  • Purdue Alumni Association Membership
  • Industry-recognized IBM certificates
  • 180+ hours of Blended Learning
  • 14+ hands-on projects on integrated labs
  • Capstone Project in 3 Domains
  • Masterclasses from Purdue faculty

Post Graduate Program Advantage

The Post Graduate Program in Data Analytics in partnership with Purdue University leverages Purdue’s academic excellence in data analytics and Simplilearn’s collaboration with IBM, providing a comprehensive view of the data analytics domain.

Partnering with Purdue University

This Post Graduate Program in Data Analytics is in partnership with Purdue University, one of the world's leading research and teaching institutions, offering higher education at the highest proven value. Purdue is committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.

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Upon completion of this program, you will:
  • Receive a joint Purdue-Simplilearn certification
  • Become entitled to membership in the Purdue University Alumni Association
Purdue Certification

PROGRAM IN COLLABORATION WITH IBM

IBM is one of the leading innovators in data analytics and infuses this program with industry-relevant, hands-on training.

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  • Industry-recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice
  • $1200 worth of IBM Cloud credits for hands-on platform exposure
IBM Certification

Program Details

Fast track your career in the data analytics field via a comprehensive curriculum covering the concepts of data analytics and statistics foundation, analyzing data using Python and R programming languages, interacting with databases using SQL, and visualizing the data using Tableau and powerBI.

LEARNING PATH

  • Get started with the Post Graduate Program in Data Analytics in partnership with Purdue University and explore everything about the program. Kickstart your Data Analytics journey with the preparatory courses on Statistics and introduction to Data Analytics along with SQL training.

  • Get the foundation strong with the basics of programming languages,statistics fundamentals and techniques.

  • Learn how to analyze data in Python, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.

  • Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

  • Master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language.

  • This course in Tableau Desktop 10 training will help you gain a variety of skills in the powerful platform including building visualizations, organizing data, and designing dashboards.

  • Culminate your Data Analytics skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone.

Electives:
  • Simplilearn’s Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. In this Power BI certification course, you will explore to experiment, fix, prepare, and present data quickly and easily.

  • This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.

  • Get a practical introduction on how to build a chatbot with Watson Assistant and then deploy your chatbot to a real website in less than five minutes.

  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science and AI.

  • Industry Master Class – Data Analytics

SKILLS COVERED

  • Data analytics
  • Statistical analysis using Excel
  • Data analysis: Python & R
  • Data visualization: Tableau & PowerBI
  • Linear and logistic regression modules
  • Clustering using k-means
  • Supervised learning

TOOLS COVERED

Microsoft ExcelNumPypandaspower bipythonRScikitLearnSciPytableau

Industry Project

  • Project 1

    Rating prediction for apps on Google Play store

    Make a model to predict the app rating, with other information about the app provided to boost its visibility.

    Rating prediction for apps on Google Play store
  • Project 2

    Demand forecast for Walmart

    Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.

    Demand forecast for Walmart
  • Project 3

    Attrition modeling for IBM

    Help the US-based multinational corporation IBM identify the factors that influence the attrition of their employees across the enterprise.

    Attrition modeling for IBM
  • Project 4

    Exploratory data analysis and visualization for Zomato

    Determine the key metrics to identify the star restaurants

    Exploratory data analysis and visualization for Zomato

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

Program Advisor

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of Science at Purdue University and named the 2018 Distinguished Lecturer in Data Science by the IEEE. He provides expert advice on applications of data science.

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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Learner's Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
    Amazon
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Vodafone
    Broadcom
    Accenture
    Nomura Holdings
    Ericsson
    Infosys
    Nvidia
    Tata Consultancy Services

Learner Reviews

  • Rajesh Dubey

    Rajesh Dubey

    Simplilearn is a great learning platform for aspirants. It provides online learning with global intellectual faculties. It offers unparallel service and is the best place to attain professional knowledge and grow in one's career. I am very, very thankful to Simplilearn.

  • C Muthu Raman

    C Muthu Raman

    Simplilearn facilitates a brilliant platform to acquire new & relevant skills at ease. Well laid out course content and expert faculty ensure an excellent learning experience.

  • Apoorva N R

    Apoorva N R

    It has been a great learning experience so far. The entire course is very informative, and the trainers are incredibly knowledgeable. The course format is comprehensive and helps in a better understanding of the course concepts. Lab support is excellent. Thanks to Simplilearn for making learning accessible to employees.

Industry Trends

Data and analytics jobs are predicted to increase 15 percent by 2020, according to an IBM report. The global analytics market is expected to grow by $105.89 billion during the period of 2019 to 2023 (Source: Technavio - Global Analytics Market 2019-2023 report).
  • Data Analyst Industry Growth

    23% Annual Growth

    For Data Analyst jobs by 2026

    2.7 million new jobs

    estimated for Data and Analytics
    roles in 2020
    Data Analyst Annual Salary
    $78KMin
    $108KAverage
    $144KMax
    Source: Glassdoor
    Data Analyst Hiring Companies
    Facebook
    Amazon
    Goldman-Sachs
    Apple
    JPMorgan-Chase
    Source: Indeed

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Admission Details

APPLICATION PROCESS

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.

Submit Application

Tell us a bit about yourself and why you want to do this program

Application Review

An admission panel will shortlist candidates based on their application

Admission

Selected candidates can begin the program within 1-2 weeks

ELIGIBLE CANDIDATES

For admission to this Post Graduate Program in Data Analytics, candidates :

A bachelor's degree with an average of 50% or higher marks

Prior work experience is not mandatory

Can be from programming or non-programming background

ADMISSION COUNSELORS

We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:

  • Address questions related to your application
  • Provide guidance regarding financial aid (if required)
  • Help answer questions and understand the program
Talk to our admissions counselors now!

Admission Fee & Financing

The admission fee for this program is $ 3,000. This fee also includes all applicable program charges including Purdue Alumni Association Membership fees.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Affirm or ClimbCredit payment option with low APR and no hidden fees.

AffirmClimbCredit

Other Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 3,000

Apply Now

PROGRAM BENEFITS

  • Complete this program while you work
  • Rigorous curriculum designed by industry experts
  • Purdue Alumni Association Membership from Purdue University
  • 23% annual growth in job openings
  • Active recruiters include Google, Microsoft, Amazon and more

PROGRAM SCHEDULE

Welcome Class for Purdue Data Analytics Program
  • Date: 24 Oct-24 Oct

    Time : 08:30 - 10:30 CDT

    Class Type:Weekend (Sat - Sun)

PG DA - Analytics and Programming Foundation
  • Date: 31 Oct-29 Nov

    Time : 08:30 - 12:30 CDT

    Class Type:Weekend (Sat - Sun)

PG DA - Data Analytics with Python
  • Date: 12 Dec-17 Jan

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG DA - Data Science with R
  • Date: 30 Jan-28 Feb

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG DA - Tableau Training
  • Date: 13 Mar-4 Apr

    Time : 07:30 - 11:30 CST

    Class Type:Weekend (Sat - Sun)

PG DA - Data Analyst Capstone
  • Date: 18 Apr-9 May

    Time : 08:30 - 12:30 CDT

    Class Type:Weekend (Sat - Sun)

Got Questions regarding the Program dates?

FAQs

  • What are the eligibility criteria for this Post Graduate Program in Data Analytics in partnership with Purdue University?

    For admission to this Post Graduate Program in Data Analytics, candidates:

    • Should have a bachelor's degree in any discipline with an average of 50% or higher marks
    • With a non-programming background can also apply
    • Having prior work experience is not mandatory

  • What are the financial aids available to enroll in this program?

    We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.

  • What is the admission process for this Post Graduate Program in Data Analytics in Partnership with Purdue University?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • What should I expect from the Purdue Post Graduate Program in Data Analytics?

    As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:

    • Purdue Post Graduate Program certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue Alumni Association membership
    • Lifetime access to all core elearning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
       

  • What certificate will I receive?

    Upon successful completion of this program, you will be awarded a Post Graduate Program In Data Analytics certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

  • Will any preparation material be provided to get started

    Once you make the first installment of the program fee, you will also get access to a preparatory course. You will have to go through the assigned course before coming for the first class. The course will have 8-10 hours of self-paced learning content in the form of videos.

  • I don't have any prior knowledge in programming, can I make a career in Data Analytics?

    Yes, in this Post Praduate Program in Data Analytics, you will learn the fundamentals of programming lanugauges, statistics and techniques from scratch to get your foundation strong and enhance your analytics career journey.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich your learning experience, from class onboarding to project mentoring and job assistance.

  • Who are the instructors and how are they selected?

    All of our highly qualified instructors are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.

  • How do I earn the certification for this Post Graduate Program in Data Analytics program?

    Upon completion of the following minimum requirements, you will be eligible to receive the post graduate certification that will testify to your skills as an expert in data analytics.

    Course Course completion certificate Criteria

    Introduction to Data Analytics
    Required 85% of online self-paced completion
    Statistics Essentials Required
    SQL Training Required
    R programming  for Data Science Required
    Data Science with R Required 1. 85% of online self-paced completion or attendance of one live virtual classroom,
    2. A score above 75% in the course-end assessment
    3. And successful evaluation in at least one project
    Tableau Training Required
    Analytics and Programming Foundation Required 1. Attendance of one live virtual classroom,
    2. A score above 75% in the course-end assessment
    3. And successful evaluation in at least one project
    Data Analytics with Python Required
    Data Analyst Capstone Required Attendance of one live virtual classroom and successful completion of the capstone project

  • I am not able to access the online program. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course.

  • If I want to cancel my enrollment, can I get a refund?

    No refund will be applicable once you make the part/full payment.

  • * Disclaimer

    All programs are offered on a non-credit basis and are not transferable to a degree.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.