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Purdue University - Simplilearn | Post Graduate Program in Data Science

Ranked #1 Data Science program by Economic Times

Course Snapshot
  • FeeINR 2,15,000 + GST (EMI options Available)
  • Work Experience5 - 30 Years
  • Duration12 Months
  • Delivery MethodOnline
Course Detail

About the Program
Accelerate your career with this acclaimed Post Graduate Program in Data Science, in partnership with Purdue University and in collaboration with IBM, and featuring the perfect mix of theory, case studies and extensive hands-on practicum. In partnership with Purdue University, this program is a comprehensive Data Science education – leveraging Purdue's academic excellence in Data Science and Simplilearn's partnership with IBM.
Designed to give recent graduates and experienced professionals an extensive Data Science education, this Post Graduate Program is a blend of online self-paced videos, live virtual classes, hands-on projects, and labs, with mentorship sessions to provide a high-engagement learning experience and real-world applications to help you master essential Data Science skills. This program offers in-depth exposure to technologies including R, Python, Machine Learning, Tableau, Natural Language Processing, and prepares you for an exciting career in Data Science.

Program Highlights
● Purdue Post Graduate Program certification
● Purdue Alumni Association Membership
● International Recognition by Purdue University
● Leading industry-recognised analytics course
● Program in collaboration with IBM
● Industry recognised certificates from IBM courses
● 25+ hands on projects and one capstone
● Exclusive Mentoring Sessions and Hackathons by IBM
● Masterclasses from Top Purdue Faculty and Industry Experts at IBM

Program Outcomes
● Gain an in-depth understanding of data structure and data manipulation
● Understand and use linear and non-linear regression models and classification techniques for data analysis
● Obtain a comprehensive knowledge of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
● Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
● Gain expertise in mathematical computing using the NumPy and Scikit-Learn package
● Master the concepts recommendation engine, time series modeling, gain practical mastery over principles, algorithms, and applications of Machine Learning
● Learn to analyze data using Tableau and become proficient in building interactive dashboards
● Understand deep reinforcement learning techniques applied in Natural Language Processing
● Understand the different components of the Hadoop ecosystem and learn to work with
HBase, its architecture and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning
● Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume

Who Should enroll in this program?
● IT professionals
● Analytics managers
● Business analysts
● Software developers
● Beginners or recent graduates with bachelor's or master's degree

Desired Candidate Profile

● 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

Course Modules

● Programming Refresher
● Statistic essential for Data Science
● R Programming for Data science
● Python for Data Science
● Data Science with R
● Data Science with Python
● Machine Learning
● Tableau
● Data science Capstone project
● Natural Language Processing