• 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

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Science in Bristol Overview

Experience the excellence of Purdue's academic prowess in data science through this Post Graduate Program. Explore essential topics like Python, ML, deep learning, NLP, data visualization, generative AI, explainable AI, ChatGPT, and more using an interactive learning approach with live sessions led by global experts.

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
  • 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
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

Data Science in Bristol 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

Data Science in Bristol 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.

Electives:
  • 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

pythonRMySQLFSDNumPySciPypandasMatPlotlibSeaborntensorflowkerasPowerBIChatGPTGeminiDalle.2Julius.aiZapier

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.

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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.

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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

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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
    Industry
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
    Companies
     course learners from Citigroup, Bristol
     course learners from PricewaterhouseCoopers, Bristol
     course learners from Tata Consultancy Services, Bristol
     course learners from Abbott, Bristol
     course learners from Bosch, Bristol
     course learners from GE Aviation, Bristol
     course learners from Accenture, Bristol
     course learners from Ernst & Young, Bristol
     course learners from VMware, Bristol
     course learners from Amazon, Bristol
     course learners from Nvidia, Bristol
     course learners from Dell, Bristol
  • 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
    Qualification
    Bachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%
    Universities
     course learners from BITS Pilani, Bristol
     course learners from IIM Kozhikode, Bristol
     course learners from HULT International Business School, Bristol
     course learners from IIM Indore, Bristol
     course learners from IIT Bombay, Bristol
     course learners from University of Illinois at Chicago, Bristol
     course learners from McGill University, Bristol
     course learners from Oklahoma State University, Bristol
     course learners from IIT Roorkee, Bristol
     course learners from AIIMS, Bristol
     course learners from NITIE, Bristol
     course learners from Northern Illinois University, Bristol

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.

STEP 1

Submit Application

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

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

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 £ 2,790. 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 payment option with 0% interest and no hidden fees.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

£ 2,790

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

      Time

      Batch Type

    • Program Induction

      7 Aug, 2024

      14:30 BST

    • Regular Classes

      10 Aug, 2024 - 16 Mar, 2025

      14:30 - 18:30 BST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Data Science in Bristol FAQs

  • 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.

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