• Program Duration44 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Oct 2nd, 2023

Data Science Course Highlights

  • Purdue’s Prestige and Academic Eminence

    Program certificate from Purdue University and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Gain Generative AI Mastery

    Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more

    Gain exposure to ChatGPT, DALL-E, Midjourney & other prominent tools.

  • Real-World Practical Application

    Apply concepts with 20+ real-world projects associated to multiple industry verticals

    8X higher live interaction with capstone projects in 3 domains

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Days
Hours
Minutes
Seconds

GET PROGRAM DETAILS

Career Opportunites After Data Science Training

    • Data Scientist

      A specialist who gathers massive data sets using analytical, statistical, and programming skills. They create data-driven solutions that are specifically adapted to an organization's requirements.

      Average Salaries
      $ 66K - $ 200K
      Hiring Companies
      PricewaterhouseCoopers
      Ernst & Young
      Amazon
      Hewlett-Packard
      JP Morgan Chase
      Microsoft
    • Data Architect
    • Database Adminstrator

Our Alumni Work At

Google
Microsoft
Facebook
Amazon
Goldman-Sachs
Apple
JPMorgan-Chase

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Hear it from our Alumni

Program Outcomes

Program CertificateProgram Certificate
  • Program completion certificate from Purdue University and Simplilearn
  • Learn about Generative AI and stay ahead of the curve
  • Gain exposure to prominent tools such as ChatGPT, Google Bard, Midjour
  • Become eligible for a membership at the Purdue Alumni Association

Data Science Course Curriculum

  • Get started with the Post Graduate Program in Data Science in partnership with Purdue University and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.

  • This course aims to provide a solid mathematical and statistical principles foundation, fostering critical thinking and problem-solving skills. By the course's conclusion, learners will possess the necessary tools to analyze data, make informed decisions, and apply mathematical and statistical techniques in practical situations relevant to their respective industries. It serves as the initial step in your program journey.

  • In this course, you will develop essential Python skills that are a crucial foundation for your progress throughout the program.

  • Enroll in this course to acquire essential knowledge for effectively working with SQL databases and leveraging them in your applications. Throughout the course, you will gain a solid understanding of SQL statements, conditional statements, commands, joins, subqueries, and various functions, empowering you to manage your SQL database for scalable growth proficiently.

  • The course provides students with the necessary skills to leverage Python for data science. By the course's conclusion, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.

  • This course comprehensively explores data science essentials, covering data preparation, model building, and evaluation. Participants will delve into fundamental Python concepts, including strings, Lambda functions, and lists. Additionally, they will gain proficiency in essential topics such as NumPy, linear algebra, and statistical concepts, which include measures of central tendency and dispersion, skewness, covariance, and correlation.

  • This course comprehensively explores diverse machine learning types and their practical applications. Participants will gain insights into the machine learning pipeline, delving into supervised learning, regression models, and classification algorithms. Additionally, the course covers unsupervised learning, clustering techniques, and ensemble modeling. Participants will also evaluate well-known machine learning frameworks like TensorFlow and Keras.

  • This Tableau course and unlock a comprehensive understanding of creating captivating visualizations, optimizing data organization, and designing informative charts and dashboards to facilitate astute business decisions. Throughout the program, you'll delve into data visualization concepts, gain proficiency in crafting diverse combo charts and stories, and learn to work adeptly with filters, parameters, and sets. Additionally, you'll master the art of constructing interactive dashboards.

  • The data science capstone project provides a valuable opportunity to apply the skills you have acquired during this program. With the guidance of dedicated mentors, you will address a real-world data science problem aligned with industry standards. This comprehensive project covers data processing, model building, and reporting business results and insights. It is the final step in your learning journey and enables you to demonstrate your Data Science expertise to potential employers.

Skills Covered

  • ChatGPT
  • Conversational AI
  • Data Visualization
  • Database Management
  • Descriptive Statistics
  • Ensemble Learning
  • Explainable AI
  • Exploratory Data Analysis
  • Generative AI
  • Inferential Statistics
  • Large Language Models
  • Model Building and Fine Tuning
  • Prompt Engineering
  • Supervised and Unsupervised Learning

Tools Covered

ChatGPT
Dalle.2
Mid-journey
NumPy
pandas
python
SciPy
MatPlotlib
tableau
Microsoft Excel
MySQLFSD

Industry Project

    prevNext

    Data Science Course Program Advisor

    Data Science Course Fee

    Program Fee $ 3,999

    Pay in Installments

    As low as

    You can pay monthly installments using Affirm, Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibilty Criteria

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • 2+ years of work experience preferred

    Best Suited For

    • Software Engineers
    • IT Professionals
    • Aspiring Data Scientists
    • Consultants

    How to Apply For Data Science Course

    • STEP 1Submit Application

      Tell us why you want to do Post Graduate Program in Data Science

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can start within 1-2 weeks

    Apply Now

    Data Science Course FAQs

    • What makes Simplilearn-Purde University's data science program different?

    • What core components are covered in the Simplilearn-Purde University data science curriculum?

    • What are the features of the PGP in the Simplilearn-Purde University data science program?

    • How does the prepare students for real-world applications in the US job market?

    • Does Simplilearn-Purde offer opportunities for research and industry collaboration?

    • What career paths can Simplilearn-Purde's data science program graduates pursue in the US?

    • What are the prerequisites for SimpleLearn-Purde's postgraduate data science programs?

    Other Programs you may be interested in

    Purdue and Simplilearn Partnership

    Purdue and Simplilearn Partnership