Advance your data science career with this program in collaboration with Caltech CTME and IBM. This program provides training in top data science skills and tools, including Python, ML, Deep Learning, Power BI, and Generative AI. Learn in masterclasses by Caltech CTME instructors and IBM experts.
Application closes on
4 Apr, 2025Program duration
6 monthsLearning Format
Live, Online, InteractiveEarn a program certificate and up to 14 Continuing Education Units (CEUs) from Caltech CTME
Earn a program certificate and up to 14 Continuing Education Units (CEUs) from Caltech CTME
Dedicated course on the latest AI trends, GenAI, prompt engineering, LLM, and more
Obtain industry-recognized IBM certificates for IBM courses and access masterclasses by IBM experts
Caltech CTME Circle membership on LinkedIn and online graduation by Caltech CTME Executive Director
Simplilearn’s Career Assistance service has demonstrated strong performance by means of average salaries offered, the number of hiring companies participating, and the pace of job offer roll-outs.
Maximum salary hike
150%Average salary hike
70%Hiring partners
2900+This program, powered by Caltech CTME’s academic excellence, offers a comprehensive curriculum covering key topics such as Python programming, machine learning, deep learning, data visualization, and GenAI. Delivered through an interactive learning model, the program features live sessions led by industry experts, ensuring a hands-on learning experience.
This data science and GenAI program leverages Caltech CTME’s academic prowess to help you pursue a successful data science career. People with data science skills can qualify for high-paying jobs like data scientist, AI specialist, and more.
Embark on an immersive learning journey that will enable you to learn basic and advanced concepts to elevate your data science skills and grow your career. Learn SQL, Python, machine learning, deep learning, GenAI, prompt engineering, data visualization, and more
Welcome to this PG in Data Science, in collaboration with Caltech CTME and IBM, which will help you become an expert in the data science domain.
Deploy deep learning model with AI/ML frameworks.
Explore the fundamental concepts and real-world applications of deep learning.
Ascertain the difference between deep learning vs. machine learning.
Supervised & Unsupervised Learning
Transformers
Generative Adversarial Network(GAN)
OpenAI Playground
Explore generative AI's role in data science
Learn about the applications of Gen AI across industries
Overcome lifecycle challenges of generative AI
Leverage Gen AI to understand data and build models
Understand the fundamental concepts of and tools used for prompt engineering
Demonstrate proficiency in prompt engineering through assessments and optional projects
Learn and apply advanced prompt engineering techniques like interview patterns and chain-of-thought
The data science and Gen AI capstone project provides an opportunity to apply the skills you acquired during this program. With the guidance of dedicated mentors, you will address a real-world, industry-aligned data science problem. This comprehensive project covers data processing, model building, and reporting business results and insights. It’s the final step in your learning journey and enables you to demonstrate your data science skills and knowledge to employers.
Attend online interactive masterclasses delivered by Caltech instructors and get insights about the advancements in the data science domain.
Attend this online interactive industry master class to gain insights about Data Science advancements
Learn the fundamentals, tools, and applications of generative AI across various industries
Comprehend the capabilities of GenAI and techniques for generating text, images, and code
Understand industry-specific applications in IT, DevOps, entertainment, and more
Develop foundational knowledge of generative AI models like GANs and VAEs
Apply generative AI to enhance data analysis and modeling
Integrate generative AI into real-world data projects
Explore applying ML to natural language data.
Focus on natural language understanding.
Learn feature engineering for NLP.
Study natural language generation.
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Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.
Create ML programs to understand different factors contributing to employee turnover. Perform different ML techniques for performance, and suggest employee retention strategies.
Perform exploratory data analysis and cluster analysis to create cohorts of songs. The classification would help to create an efficient recommendation system.
Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.
Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using Tableau.
Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.
Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options.
Create a classification model using ten years of rainfall data to predict the weather for different locations across Australia.
Utilize data science and machine learning methodologies. Identify fraudulent credit card transactions so that end customers are not charged for items they did not purchase.
Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.
An Immersive Learning Experience
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.
Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.
Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.
Dr. Rick Hefner serves as the Executive Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions.
Data Science and Artificial Intelligence are amongst the hottest fields of the 21st century that will impact all segments of daily life by 2025, from transport and logistics to healthcare and customer service.
Annual Job Growth by 2033
Compound annual growth rate by 2032
Average Annual Salary
This PG Data Science program caters to working professionals across industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
*Based on Simplilearn's enrolment data of past two years
There are just three easy stages in the application procedure. The chosen candidates will receive an offer of admission, which they may accept by paying the admission fee.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
For admission into this Post Graduate Program in Data Science, candidates should have:
The admission fee for this PG in Data Science program is $4,000.
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.
$400/month
You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.
Date
Time
Batch Type
7 Apr, 2025
08:30 CDT
26 Apr, 2025 - 26 Oct, 2025
08:30 - 12:30 CDT
WeekendSaSu
Data science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful insights, and make better, data-driven business decisions. It combines math and statistics, data analytics, programming, and AI and machine learning to harness the power of data.
Data scientists analyze vast amounts of data to help business leaders make better decisions, develop products, improve processes, and identify problems that need resolution. More specifically, they:
Data science is used in various industries, including healthcare, finance, retail, e-commerce, and more, so qualified data scientists are in high demand. Earning a certificate from a prestigious university validates your knowledge and skills in this exciting field. You will get practical training in top data science tools, learn in live online classes and masterclasses led by IBM experts and Caltech CTME faculty, work on real-world, industry-aligned projects, and much more. Enrolling in a data science program can help boost your career as a data scientist.
This online data science course is ideal for professionals eager to develop expertise in data science with the objective of:
Our highly qualified data science instructors are industry experts with relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating remain part of our faculty.
The admission process for this PG data science program consists of three simple steps:
Opportunities in the field are limitless, and data science job roles promise plenty of possibilities and high-paying salaries. The average Data Scientist salary in India can range from INR 8 Lakhs to 20 Lakhs based on experience, location, and organization. In the US, the average annual salary for a data scientist is $159K.
Completing a data science program opens many job opportunities across several industry sectors. It will help you pursue roles such as Data Scientist, Machine Learning Engineer, or Data Analyst. Industries like finance, healthcare, tech, etc., highly demand data scientists to make data-driven decisions. With experience, you can advance to senior roles like Data Science Manager or Chief Data Officer in these fields.
Once you make the first installment of the fee for this PG in data science program, you will get access to a preparatory course. You must complete the assigned course before starting the first class, consisting of self-paced learning content in videos.
Yes, you can enroll in the PG data science program even if you have no prior knowledge. This comprehensive program covers the fundamentals to the most advanced data science skills.
We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.
Please read our refund policy for information about cancellations and refunds regarding our data science course. Alternatively, you can contact us by email, telephone, or live chat if you need assistance.
At Simplilearn for Business, we collaborate with Fortune 500 and mid-sized companies to deliver digital skills training for their talent development strategy. Our corporate training offerings include short skill-based certification programs, role-based learning paths, and Simplilearn Learning Hub+ - a comprehensive learning library with unlimited live and interactive solutions accessible organization-wide. Our curriculum consultants customize learning solutions to meet each client's team's needs and objectives.
Yes, Simplilearn’s Caltech Post Graduate Program in Data Science, offered in collaboration with Caltech CTME, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Caltech CTME also accepts tuition vouchers, which can streamline reimbursement.
To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.