Advance your data science career with this PG in Data Science, collaborating with Caltech CTME and IBM. This program teaches you skills and tools including ML, Python, Tableau, generative AI, explainable AI, ChatGPT, and more. The program also includes masterclasses by Caltech faculty & IBM experts.
Earn a program Certificate and up to 14 CEU credits from Caltech CTME
Dedicated course on generative AI, prompt engineering, ChatGPT and more
Obtain industry-recognized IBM certificates for IBM courses and get access to masterclasses by IBM
Earn a membership to Caltech CTME circle and an online convocation by the Caltech program 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 hike150%
Average salary hike70%
This Caltech Post Graduate Program in Data Science leverages the superiority of Caltech's academic eminence covering critical data science topics like Python, R, machine learning, data visualization tools, generative AI, explainable AI, ChatGPT, and more through an interactive learning model with live sessions led by global practitioners.
This Data Science Post Graduate Program leverages Caltech's academic prowess and helps you pursue a successful career in data science.
Embark on a meticulously crafted learning journey in generative AI, explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, machine learning, data visualization, and more. Elevate your data science expertise and advance your career.
Welcome to this PG in Data Science, developed and presented with Caltech CTME and IBM, which will help you become an expert in the data science domain.
Craft your inaugural Python script incorporating variables, strings, functions, loops, and conditional statements.
Gain a firm grasp of Python's fundamental principles, including lists, sets, dictionaries, conditional logic, branching, object-oriented programming, and classes.
Harness the power of the Pandas library to import, manipulate, save data, and manage file operations in Python.
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.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science by Caltech
Attend this online interactive industry master class to gain insights about Data Science advancements
( Toll Free )
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 for employee turnover. Perform different machine learning techniques for performance, and suggest employee retention strategies.
Perform exploratory data analysis and perform 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 the end customers are not charged for items that they did not purchase
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Dr. Rick Hefner serves as the Program 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 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
This Data Science program caters to working professionals across industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates 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 to this Post Graduation in Data Science, candidates should have:
This course will give you 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 generative 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
Designing and Generating Effective Prompts
Large Language Models
ChatGPT and its Applications
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI
AI Technologies for Innovation
Data science is the domain that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.
This Data science program gives you a step-by-step guide to learning all the concepts from scratch. The entire syllabus is divided into the following courses: