Post Graduate Program in Data Science
Supercharge your career with this data science program delivered collaboratively by Purdue University Online and Simplilearn. Gain skills in Python, ML, deep learning, NLP, data visualization, generative AI, ChatGPT, and more. Benefit from masterclasses by Purdue faculty and IBM experts.
Joint data science program certificate from Purdue University Online and Simplilearn
Dedicated course on generative AI, prompt engineering, LLMs, ChatGPT, and their applications
Obtain certificates for IBM courses and get access to masterclasses delivered by IBM experts
Practical learning through 25+ hands-on projects and 20+ tools with access to integrated labs
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 |
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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 |
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.
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.
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.
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.
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Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.
Develop an e-commerce app on the Python platform that cancategorize, add or remove items from the cart and support different payment options
Create an online car rental platform integrating scheduling and billing features and leveraging object-oriented programming techniques
Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.
Perform exploratory data analysis and hypothesis testing to better understand the various factors that contribute to customer acquisition.
Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.
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.
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
Create a model that predicts whether or not an applicant can repay a loan using historical data.
Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.
Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.
Utilize SQL databases to map employee performance and construct reports for appraisals
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.
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.
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.
Annual Job Growth By 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
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 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.
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.
Tell us why you want to enroll in the Post Graduate Program in Data Science
An admission panel will shortlist candidates based on their application
Selected candidates can start within 1-2 weeks
For admission to Post Graduation in Data Science, candidates should have:
The admission fee for this Post Graduation in Data Science is $ 4,199. This fee covers applicable program charges and the Purdue Alumni Association membership fee.
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.
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
Date
Time
Batch Type
28 May, 2024
08:30 CDT
10 Aug, 2024 - 16 Mar, 2025
08:30 - 12:30 CDT
Weekend (Sat - Sun)
This Purdue Data Science Program requires the following qualifications:
A bachelor's degree with a 50% or above grade point average.
Understanding basic programming principles and mathematics is required.
Working professionals with at least two years of experience are recommended for Purdue Data Science Program.
There are three manageable phases to the Purdue Data Science Program admission:
All interested applicants must apply online using the application form.
Candidates will be shortlisted by an admissions panel based on their application.
The shortlisted candidates will get an offer of admission, which they must accept by paying the fees.
We have partnered with Affirm to provide competitive financing options(EMI option available)
Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, the need for qualified Data Scientists will continue to increase multifold.
A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A Data Scientist also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.
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.
Yes, after completing this Purdue Data Science Program, you will be eligible for membership in the Purdue Alumni Association
You'll have access to a preparatory course once you pay the first installment of the fee. Before attending the first class, you must complete the prescribed learning path. The tutorials will include 8-10 hours of video-based self-paced learning content.
Our team of skilled teaching assistants and subject matter experts is committed to guiding you to successfully master the Purdue Data Science Program on your first try. They enhance your learning journey by supporting you with class onboarding, project mentoring, and job guidance. Available during business hours, they are here to respond to your inquiries and aid you in finishing your Purdue Data Science Program.
Our highly skilled Data Science professors are all industry specialists with years of expertise. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile screening, technical Examination, and a training demo. We also ensure that only trainers with a high alumni rating stay on our staff.
Yes, even if you have no technical expertise, you may enroll in the Purdue Data Science Program. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.
Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you through Purdue Data Science Program. Once you finish Purdue Data Science Program, you will gain lifelong access to our community forum.
If required, you can easily cancel your enrollment. After deducting an administration charge, we will reimburse the money. Please view our Refund Policy for more information.
Data science is a tremendous professional path with various potential progression opportunities. Data science positions are in high demand and pay well. Indeed, according to certain LinkedIn studies, the Data Scientist is the "most promising career," while Glassdoor calls it the "greatest job in America." Our Purdue Data Science Program will provide you with all the necessary skills needed to kickstart a successful data science profession.
Programming is an essential aspect of data science. For data science projects, scripting and mathematics are crucial ideas. Gaining foundational knowledge or job experience in the domains mentioned above is strongly recommended for applicants interested in a data science profession. Python and R are widely used programming languages in data research. Our Data Science curriculum will simplify your learning of programming languages.
Through this course, you will gain a holistic understanding of the essentials of generative AI and its landscape, prompt engineering, Explainable AI, Conversational AI, ChatGPT and other LLMs.
The key learning objectives of this course are:
Understand the fundamentals of Generative AI models, including the working principles and various Gen AI models.
Comprehend the concept of Explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.
Apply effective prompt engineering techniques to improve the performance and control the behavior of Generative AI models.
Understand ChatGPT, including its working mechanisms, notable features and limitations.
Identify and explore diverse applications and use cases where ChatGPT can be leveraged.
Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse.
Understand the potential of Generative AI to revolutionize industries and explore prominent generative AI tools.
Gain insights into the future of Generative AI, its challenges and the steps needed to unlock its full potential.
Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are:
Generative AI and its Landscape
Explainable AI
Conversational AI
Prompt Engineering
Designing and Generating Effective Prompts
Large Language Models
ChatGPT and its Applications
Fine-tuning ChatGPT
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI
AI Technologies for Innovation