Post Graduate Program in Data Science
Ranked #1 Data Science program by Economic Times
Accelerate your career with this acclaimed Post Graduate Program in Data Science, in partnership with Purdue University — in collaboration with IBM, and featuring the perfect mix of theory, case studies and extensive hands-on practicum.
- Next Cohort starts: Oct 31, 2020Limited no. of seats available
- Program Duration: 12 monthsAt 5-10 hours/week
- Online BootcampLearning Format
World’s #1 Online Bootcamp
Program Overview
This Post Graduate Program in Data Science gives you broad exposure to key concepts and tools from Python, R to Machine Learning and more. Hands-on labs and project work bring these concepts to life with our trainers and teaching assistants to guide you along the way.
KEY FEATURES
- Purdue Post Graduate Program Certification
- Purdue Alumni Association Membership
- Masterclasses from Purdue
- Industry-recognized IBM certificates
Post Graduate Program Advantage
Partnering with Purdue University
This Post Graduate Program in Data Science 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.
- Receive a joint Purdue-Simplilearn certification
- Become entitled to membership in the Purdue University Alumni Association
Program in collaboration with IBM
IBM is one of the leading innovators in Data Science and infuses this program with industry relevant, hands-on training
- 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
Program Details
Learn Data Science via a comprehensive curriculum covering statistics, key programming languages, Machine Learning algorithms, and more -- with a capstone project culminating your learning experience.
LEARNING PATH
Get started with the Post Graduate Program in Data Science in partnership with Purdue University and explore everything about the program. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
The most in-demand open-source technology is R Programming. Learn how this programming language unlocks the power of Data Science with hands-on experience and real-world applications.
Kickstart your learning of Python for Data Science with this introductory course and familiarize yourself with programming, tastefully crafted by IBM.
Elevate your Python skills to a new level with this interactive, hands-on course and establish your mastery of Data Science and analytics techniques using Python programming.
Master Machine Learning techniques, including supervised and unsupervised learning and hands-on modeling rounding out your Data Science education.
Understand the fundamentals of Natural Language Processing using the most popular library; Python’s Natural Language Toolkit (NLTK).
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 new Data Science skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone.
Electives:
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.
Learn how to write R code, R’s data structures, understand how statistical modeling relates to Machine Learning, and how to do a comparison of each using R.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science and AI.
Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.
SKILLS COVERED
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural Language Processing
TOOLS COVERED
Industry Project
- Project 1
Fare Prediction for Uber
Uber wants to improve the accuracy of its fare prediction model. Help Uber by choosing the best data and AI technologies and building its next-generation model.
- Project 2
Test Bench Time Reduction for Mercedes-Benz
Mercedes-Benz wants to reduce the time it spends on the test bench. Faster testing will reduce a cars time to market. Build and optimize the ML algorithm to achieve this objective.
- Project 3
Product Rating Prediction for Amazon
Amazon recommends products to customers based on their activity and the buying habits of other customers. Help Amazon to improve the recommendation engine to optimize its revenue per customer.
- Project 4
Demand Forecasting for Walmart
Predict accurate sales for Walmart stores considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
- Project 5
Improving Customer Experience for Comcast
Comcast wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, they are looking for recommendations that can be implemented.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Program Advisor
Patrick J. Wolfe
Frederick L. Hovde Dean of Science at Purdue UniversityPatrick 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
Top 10 Big Data and Data Science Influencer, Director - AdversitementNamed 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.
Dr. Christopher G. Brinton
Assistant Professor of Electrical and Computer Engineering at Purdue UniversityDr. Christopher G. Brinton, assistant professor at Purdue University and co-founder of machine intelligence analytics company Zoomi, Inc. specializes in research on AI and networks. He has built award-winning social learning network algorithms and network optimization models.
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 industriesIndustryInformation Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%Companies
- The class maintains an impressive diversity across work experience and rolesDesignation BreakupAssociate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%Total Years of ExperienceLess than 3 years - 16%3-5 years - 15%5-8 years - 11%8+ years - 58%
- The class has learners with varied educational qualifications from excellent institutionsQualificationBachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%Universities
Learner Reviews
Surender Kumar Sarveshwar
Principal Consultant at CognizantSimplilearn is the best online platform. I have completed Data Scientist certification from here. The trainers are very knowledgeable. It has a well-organized course. The method of presentation is really commendable. Kudos to Simplilearn. It's definitely going to be a long journey for Simplilearn.
Deepika Vashishtha
The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.
Hansil Sago.
The material is exciting and structured. The animation in the lectures is very helpful and useful. The lecture notes are also outstanding. The way of explaining things is also great. The instructor is just excellent in everything. I highly recommend people take courses from Simplilearn.
Palani Somalinga
Principal Business AnalystSimplilearn is an incredible platform to learn on your own, depending on your availability. All the questions raised about projects are resolved quickly, helping students to complete projects in time.
Madhukar Malali
It was a great learning experience with Simplilearn; I had enrolled for Programming in R with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Simplilearn.
Sathya Raj
The best online training center, with lots of hands-on projects. One of the critical things about Simplilearn is the self-learning content which gives you the basic idea about the topics. Moreover, we can watch videos whenever we want, since we are provided with lifetime access to the self-learning videos.
Ankit Agarwal
One of the best trainings I have ever attended. Both the trainer's knowledge and patience are highly appreciated.
Mabel Wee
I encountered problems when trying to solve the projects in my Data Science class for Python. The Teaching Assistant was accommodating and provided step-by-step guidance through web chat sessions to resolve the issues.
Leena Atre
Senior Project ManagerIt is easy to understand and learn, and Simplilearn provides real-time scenarios with examples that can help you understand concepts better.
Praveen kamesh
The course is planned in such a way that even a person with limited programming skills can learn and build a career in Data Science. The trainer’s skills are commendable. I learned Python and R and am now able to complete real-time projects with ease. Very motivating and great value for your money. Thank you, Simplilearn.
Ritwik Mukherjee
Simplilearn has been instrumental in developing my understanding about coding and getting the logic right. Of course, they help you understand the mathematical ideas and logic, too, which makes learning better and more thorough.
Raviraj Kour
I am happy with what I have learned in Data Science through the Python course I have been enrolled in for the past month with Parshvika. Her lectures are well-informed. It is an excellent steppingstone to an impressive Data Scientist Career. Good work, team!!
Vivek Negi
I am thrilled with the course as it was structured and the trainer, Parshvika, shared good content. I believe that the Data Science with Python course will be a great learning experience for my career as a Data Scientist.
Anoop Sharma
IT Consultant and Java Trainer at Computing AcademicsI am glad to enroll for Data Science Course from Simplilearn. I never have this kind of experience in my entire life of learning. The trainers are helpful and knowledgeable. The customer support team of Simplilearn is very good. It was a great experience.
Sandesh B
I am an HR Professional who wanted to learn Data Science. After a lot of research on training providers, I finalized Simplilearn, and I surely made the right choice. Even with no knowledge of coding/statistics, I have been able to learn Machine learning easily. I strongly recommend this course.
Industry Trends
- Data Science Industry Growth
28% Annual Growth
for Data Scientist jobs by 20202.7 million new jobs
estimated for Data Science and Analytical roles by 2020Data Science Annual SalarySource: GlassdoorData Science Hiring CompaniesSource: 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.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
ELIGIBLE CANDIDATES
For admission to this Post Graduate Program in Data Science, candidates should have:
2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics
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
Admission Fee & Financing
The admission fee for this program is $ 4,500. 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.
Apply Now
PROGRAM BENEFITS
- Complete this program while you work
- Rigorous curriculum designed by industry experts
- Purdue Alumni Association Membership from Purdue University
- 28% annual growth in job openings
- Active recruiters include Google, Microsoft, IBM and more
PROGRAM SCHEDULE
Date: 31 Oct-31 Oct
Time : 08:30 - 10:30 CDT
Class Type:Weekend (Sat - Sun)
Date: 28 Nov-17 Jan
Time : 07:30 - 11:30 CST
Class Type:Weekend (Sat - Sun)
Date: 6 Feb-21 Mar
Time : 07:30 - 11:30 CST
Class Type:Weekend (Sat - Sun)
Date: 10 Apr-23 May
Time : 08:30 - 12:30 CDT
Class Type:Weekend (Sat - Sun)
Date: 12 Jun-11 Jul
Time : 08:30 - 12:30 CDT
Class Type:Weekend (Sat - Sun)
Date: 31 Jul-29 Aug
Time : 08:30 - 12:30 CDT
Class Type:Weekend (Sat - Sun)
Date: 19 Sep-10 Oct
Time : 08:30 - 12:30 CDT
Class Type:Weekend (Sat - Sun)
FAQs
What are the eligibility criteria for this Post Graduate Program in Data Science in partnership with Purdue University?
For admission to this Post Graduate Program in Data Science, you should have:
- A bachelor's degree with an average of 50% or higher marks
- Basic understanding of programming concepts and mathematics
- Working Professionals with 2+ years of experience are preferred to apply for this program
What is the admission process for this Post Graduate Program in Data Science 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 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 should I expect from the Purdue Post Graduate Program in Data Science?
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 (the core) of the e-learning content created by Simplilearn
- $1,200 worth of IBM Cloud credits for your personal use
- Access to IBM Cloud platforms featuring IBM Watson and other cloud services
What certificate will I receive?
Upon successful completion of the program, you will be awarded a Post Graduate Program in Data Science certification by Purdue University. You will also get 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.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.