• Admission closes on 21 Jul, 2024
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint data science program certificate from Purdue University Online and Simplilearn

Gain Generative AI Mastery

Gain Generative AI Mastery

Dedicated course on generative AI, prompt engineering, LLMs, ChatGPT, and their applications

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain certificates for IBM courses and get access to masterclasses delivered by IBM experts

Hands-on Learning Approach

Hands-on Learning Approach

Practical learning through 25+ hands-on projects and 20+ tools with access to integrated labs


Looking to enroll your employees into this program ?

Purdue Data Science Overview

The Professional Certificate Program in Data Science teaches valuable concepts and tools from Python to Machine Learning, among others. The Data Science certification program in Houston provides hands-on labs and projects, making these concepts come alive. And you have our staff to advise and train you in this Data Science certification program in Houston.

Key Features

  • Program completion certificate from Purdue University Online and Simplilearn
  • Access to Purdue’s alumni association membership on program completion
  • Core curriculum delivered in live online classes by industry experts
  • Industry-recognized IBM certificates for IBM courses
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
  • Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
  • Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
  • Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
  • 3 capstones and 25+ hands-on projects from various industry domains
Key Features
Program completion certificate from Purdue University Online and Simplilearn
Access to Purdue’s alumni association membership on program completion
Core curriculum delivered in live online classes by industry experts
Industry-recognized IBM certificates for IBM courses
Simplilearn Career Service helps you get noticed by top hiring companies
Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
3 capstones and 25+ hands-on projects from various industry domains

Purdue Data Science Advantage

This Post Graduate Program in Data Science is an all-encompassing program that leverages Purdue's academic excellence in the field of data science and Simplilearn's partnership with IBM.

  • Purdue Certification

    Partnering with Purdue University

    • Program certificate from Purdue University Online and Simplilearn
    • Masterclasses delivered by Purdue faculty and staff
    • Access to Purdue Alumni Association membership
  • IBM Certification

    Program in collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) sessions

Purdue Data Science Details

Propel your career forward by embarking on a carefully designed learning journey that covers GenAI, prompt engineering, Python, data analysis, machine learning, deep learning, and more. With hands-on projects and industry-standard tools, you will be well-prepared to tackle real-world challenges.

Learning Path

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

    • Master procedural & OOP in Python.
    • Understand Python's benefits.
    • Install Python & its IDE.
    • Familiarization with Jupyter Notebook.
    • Implement identifiers, indentations, & comments effectively.
    • Grasp Python's data types, operators, & string functions.
    • Learn various loops in Python.
    • Explore variable scope in functions.
    • Explain OOP principles & characteristics.
    • Understand databases & relationships.
    • Use query tools & SQL commands.
    • Master transactions, table creation, & views.
    • Execute complex stored procedures.
    • Acquire expertise in SQL filtering, grouping, joins, etc.
    • Explore SQL functions: string, math, date, and pattern matching.
    • Ensure database security with access control functions.
    • Gain Python skills for data science.
    • Write Python scripts proficiently.
    • Perform hands-on data analysis.
    • Utilize Jupyter-based lab environment.
    • Explore data prep, modeling, & evaluation.
    • Master NumPy, array indexing, slicing.
    • Understand skewness, covariance, correlation.
    • Describe null & alternative hypotheses.
    • Examine Z-test, T-test, ANOVA.
    • Utilize pandas' Series & DataFrame.
    • Create visualizations with Matplotlib, Seaborn, Plotly, and Bokeh.
    • Explore diverse ML types & applications.
    • Understand ML pipeline & supervised learning.
    • Learn regression models & classification algorithms.
    • Cover unsupervised learning & clustering techniques.
    • Evaluate frameworks: TensorFlow, Keras.
    • Build a recommendation engine with PyTorch.
    • Deploy deep learning tools with AI/ML frameworks.
    • Explore fundamental concepts & practical applications.
    • Understand deep learning vs. machine learning.
    • Cover neural networks, propagation, TensorFlow 2, Keras.
    • Learn performance improvement & interpretability.
    • Study CNNs, transfer learning, RNNs, and autoencoders.
    • Create neural networks in PyTorch.
    • Build & optimize models with Keras & TensorFlow.
    • Understand the fundamentals of artificial intelligence and generative AI models
    • Comprehend the concept of explainable AI, recognize its significance, and identify different approaches
    • Gain an understanding of ChatGPT, including its working mechanisms, notable features, and limitations
    • Identify and explore diverse applications and use cases where ChatGPT
    • Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models 
    • Recognize the ethical challenges of generative AI models and ChatGPT
    • Gain insights into the future of generative AI and its challenges.
    • Explore generative AI's role in data science.
    • Learn its applications across industries.
    • Overcome lifecycle challenges with generative AI.
    • Leverage it for data understanding & model building.
    • Master industry-specific EDA tools & techniques.
    • Develop skills for success in data science.
  • The data science and machine learning capstone project provides a unique opportunity to apply skills in real-world scenarios. Guided by industry mentors, you'll address industry challenges, from data processing to presenting results. Using Python or SAS, implement regression, decision trees, and AI algorithms for accurate models. Ensure model robustness with k-fold cross-validation. Utilize Tableau for insightful result visualization.

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

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

    • Learn about math, variables, strings, vectors, factors, and vector operations
    • Gain fundamental knowledge of arrays and matrices, lists, and data frames
    • Get insight into conditions and loops, functions in R, objects, classes, and debugging
    • Learn how to read text, CSV, and Excel files accurately and how to write and save data objects in R to a file
    • Understand and work on strings and dates in R
    • Analyze data for valuable business insights with Power BI
    • Create interactive dashboards for effective decision-making
    • Enhance operational efficiency
    • Develop dashboards from published reports
    • Utilize Quick Insights for rapid data pattern discovery
    • Adopt practical approaches within Power BI
    • Dive deep into computer vision.
    • Master advanced Deep Learning techniques.
    • Cover image formation and processing.
    • Learn CNNs, object detection, and segmentation.
    • Study generative models, OCR.
    • Explore distributed, parallel computing.
    • Understand Explainable AI (XAI).
    • Deploy deep learning models effectively.
    • Tackle complex vision challenges.
    • Explore applying ML to natural language data.
    • Focus on natural language understanding.
    • Learn feature engineering for NLP.
    • Study natural language generation.
    • Cover automated speech recognition.
    • Master speech-to-text & text-to-speech conversion.
    • Build voice assistance devices & Alexa skills.
    • Acquire advanced NLP & speech recognition skills.
    • Tackle sophisticated challenges in language & speech applications.
    • Gain a comprehensive understanding of data ethics.
    • Explore relevance, legal frameworks & privacy.
    • Address security protocols & biases.
    • Learn decision-making & visualization practices.
    • Understand the societal impacts of data analytics.

Skills Covered

  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Finetuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Deep Learning
  • Data Visualization
  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Machine Learning Algorithms
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition

Tools Covered


Industry Project

  • Project 1

    Create a Virtual Assistant with Generative AI

    Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.

  • Project 2

    Develop an Ecommerce App with Python

    Develop an e-commerce app on the Python platform that cancategorize, add or remove items from the cart and support different payment options

  • Project 3

    Build an Online Car Rental Platform

    Create an online car rental platform integrating scheduling and billing features and leveraging object-oriented programming techniques

  • Project 4

    Utilize Time Forecasting to Forecast for the Food Industry

    Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 5

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to better understand the various factors that contribute to customer acquisition.

  • Project 6

    Use Cluster Analysis for Song Classification

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Predicting Employee Iteration with Machine Learning

    Build a machine learning model that predicts a company's employee attrition rate by identifying patterns in their work habits and desire to stay with the company.

  • Project 8

    Utilize Deep Learning to Automate Ship Detection

    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships

  • Project 9

    Deep Learning models to Predict House Loan Repayment

    Create a model that predicts whether or not an applicant can repay a loan using historical data.

  • Project 10

    Facial Recognition for Healthcare Systems with Deep learning

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 11

    Detecting Diabetics with CNN and Deploying with TensorFlow

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 12

    Employee performance Mapping

    Utilize SQL databases to map employee performance and construct reports for appraisals

  • Project 13

    Air Cargo Analysis with SQL

    Leverage SQL to generate reports using historical airline data, aiming to enhance services and improve customer experience.

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


Program Advisors and Trainers

Program Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College 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 the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.


Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO, Ubhuru Technologies

  • Prashant Nair

    Prashant Nair

    20+ years of experience

    Solution Architect | Data Scientist

  • Nikhil Garg

    Nikhil Garg

    16 + years of experience

    Data Science Instructor


Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

Join the Data Science industry

The global Data Science Platform Market size was valued USD 95.3 billion in 2021, The market for data science platform is estimated to reach 322.9 USD billion in 2026.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job Icon$86K - $157K

 Average Annual Salary

Source: Glassdoor

Batch Profile

This Post Graduation in Data Science Program is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
     course learners from Citigroup, Houston
     course learners from PricewaterhouseCoopers, Houston
     course learners from Tata Consultancy Services, Houston
     course learners from Abbott, Houston
     course learners from Bosch, Houston
     course learners from GE Aviation, Houston
     course learners from Accenture, Houston
     course learners from Ernst & Young, Houston
     course learners from VMware, Houston
     course learners from Amazon, Houston
     course learners from Nvidia, Houston
     course learners from Dell, Houston
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%
    Total Years of Experience
    Less 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 institutions
    Bachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%
     course learners from BITS Pilani, Houston
     course learners from IIM Kozhikode, Houston
     course learners from HULT International Business School, Houston
     course learners from IIM Indore, Houston
     course learners from IIT Bombay, Houston
     course learners from University of Illinois at Chicago, Houston
     course learners from McGill University, Houston
     course learners from Oklahoma State University, Houston
     course learners from IIT Roorkee, Houston
     course learners from AIIMS, Houston
     course learners from NITIE, Houston
     course learners from Northern Illinois University, Houston

Alumni Review

The prevalence of big data in business decisions makes this a valuable course for working professionals and executives. This comprehensive online boot camp curriculum includes Business Intelligence/ Data Analytics, Natural Language Processing, Business Analytics, and Deep Learning.

John Scott

VP of Global Finance Technology & InnovationWalmart

What other learners are saying

Admission Details

Application Process

Candidates can apply to this Post Graduation in Data Science Program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.


Submit Application

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


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can start within 1-2 weeks

Eligibility Criteria

For admission to Post Graduation 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 Fee & Financing

The admission fee for this Post Graduation in Data Science is $ 3,800. This fee covers applicable program charges and the Purdue Alumni Association membership fee.

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 Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 3,800

Apply Now

Program Benefits

  • Masterclasses delivered by Purdue University and IBM
  • Earn a data science program completion certificate
  • Exposure to ChatGPT, GenAI, prompt engineering and more
  • Alumni Association Membership from Purdue University
  • Simplilearn’s Career Assistance post program completion

Program Cohorts

Next Cohort

    • Date


      Batch Type

    • Program Induction

      7 Aug, 2024

      08:30 CDT

    • Regular Classes

      10 Aug, 2024 - 16 Mar, 2025

      08:30 - 12:30 CDT

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Purdue Data Science FAQs

  • What are the eligibility criteria for this Professional Certificate Program in Data Science in Houston?

    For admission to this Professional Certificate Program in Data Science in Houston, 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 Professional Certificate Program in Data Science in Houston?

    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 Data Science certification program in Houston?

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

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning we offer various financing options to help you find this Data Science certification program in Houston more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Professional Certificate Program in Data Science in Houston?

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

    • Purdue Professional Certificate Program in Data Science 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 bootcamp in Houston, you will be awarded a Professional Certificate Program in Data Science certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the programs on the learning path after successful program completion.

  • Will any preparation material be provided to get started?

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

  • * Disclaimer

    The Professional Certificate Program in Data Science in Houston is offered on a non-credit basis and is not transferable to a degree.

  • What are the major industries in Houston?

    Aerospace and aviation, transportation and logistics, energy, life sciences, biotechnology, and information technology, are some of the major industries in Houston. All of these apply data and analytics. As a result, earning a Professional Certificate Program in Data Science in Houston is an excellent professional move.

  • What influence will Data Science have in 2024?

    Given the vast volumes of data created today, data science will continue to be an emerging field essential for any company. As a result, the need for qualified Data Scientists will continue to increase multifold.

  • What are the essential functions and responsibilities of a Data Scientist?

    A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate large scale data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A professional with Data Science major also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.

  • What is a Data Science Professional's earning potential?

    Data Science jobs provide many opportunities for success with high-paying incomes. Based on experience, region, and employer, India's typical average Data Scientist compensation is INR 972,217 annually. (according to PayScale The average annual wage in the United States is $100,507. Discover other professional courses here.

Post Graduate Program In Data Science, Houston

Houston is the most populous city in the United States state of Texas, with an estimated population of 2,320,268 in 2019. Houston's GDP is the country's seventh-largest in the country. It is estimated at $512.2 billion. Its most current GDP per capita was $63,311 in 2017.

Every year, more than 7 million people visit the Museum District in Houston, which is home to various cultural institutions and exhibits. It is the center of Houston’s visual and performing arts.

Houston's climate is classified as humid subtropical. The winds are from the south and southeast for most of the year, bringing heat and moisture from the nearby Gulf of Mexico. 
Winters are cold, summers are hot, and there is plenty of rain.

The nightlife in Houston has been brought back to life thanks to a slew of new clubs, professional sports facilities, and musical performances. On top of that, there are countless sights, shopping, and dining options in the city, all of which are fantastic to visit. Here are a few highly recommended places to visit in Houston:

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