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Apr 19, 2025Program Duration
6 monthsLearning Format
Live, Online, InteractiveProgram certificate and up to 14 Continuing Education Units (CEUs) from Caltech CTME
Masterclasses delivered by distinguished Caltech CTME instructors
Dedicated course on generative AI, prompt engineering, LLM, and much more
Gain exposure to ChatGPT, Claude, Gemini, and other prominent tools
Application-based live virtual hands-on training from leading industry experts
6 months of applied learning: 25+ hands-on projects with seamless access to labs
Strengthen your resume and get career guidance from industry specialists
Attend mock interview sessions to help you ace the hard technical questions
Enroll your employees into this program, NOW!
Maximum salary hike
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Hiring partners
Data Scientists extract insights from complex data. They apply statistical, machine learning, and analytical techniques to solve critical business problems. Mastery of programming languages like Python or R is essential. Experience with big data tools and databases is a bonus.
Hiring CompaniesEmbark 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.
In this course, you will develop essential Python skills that serve as a crucial foundation for your progress throughout the program.
Enroll in this course to acquire essential knowledge for effectively working with SQL databases and leveraging them in your applications. Throughout the course, you will gain a solid understanding of SQL statements, conditional statements, commands, joins, subqueries, and various functions, empowering you to manage your SQL database for scalable growth proficiently.
This course comprehensively explores data science essentials, covering data preparation, model building, and evaluation. Participants will delve into fundamental Python concepts, including strings, Lambda functions, and lists. Additionally, they will gain proficiency in essential topics such as NumPy, linear algebra, and statistical concepts, which include measures of central tendency and dispersion, skewness, covariance, and correlation.
This course comprehensively explores diverse machine learning types and their practical applications. Participants will gain insights into the machine learning pipeline, delving into supervised learning, regression models, and classification algorithms. Additionally, the course covers unsupervised learning, clustering techniques, and ensemble modeling. Participants will also evaluate well-known machine learning frameworks like TensorFlow and Keras.
This course equips learners with the skills to deploy deep learning tools using leading AI/ML frameworks. It begins with exploring fundamental concepts and hands-on applications, including a clear understanding of the differences between deep learning and machine learning. Key topics include neural networks, propagation techniques, and tools like TensorFlow 2 and Keras. Learn about performance improvement, interpretability, CNNs, transfer learning, RNNs, and autoencoders.
Learn about the advancements in chatbots and large language models, and discover the creative possibilities of image and video generation through a deep dive into their underlying architectures and popular tools. Learn about business considerations like project feasibility, return on investment (ROI) analysis, and building robust proofs of concept for your AI projects.
This course explores the transformative role of generative AI in data science, highlighting its applications across various industries. Gain insights into overcoming lifecycle challenges associated with Gen AI while leveraging its data understanding and model-building capabilities. The curriculum includes industry-specific exploratory data analysis (EDA) tools and techniques, equipping participants with skills to excel in data science.
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
Microsoft Power BI offers robust tools designed to analyze data and extract valuable business insights through interactive dashboards. This comprehensive training course on Power BI empowers you to fully harness its potential, enabling you to solve business challenges and improve operations effectively. Throughout the course, you'll learn to develop dashboards from published reports expertly and utilize Quick Insights to discover valuable patterns rapidly.
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.
This advanced course explores applying machine learning algorithms to process vast amounts of natural language data. It focuses on natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, voice assistance devices, and building Alexa skills.
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Pay in Installments
As low asYou can pay monthly installments using Splitit or Klarna.These plans are offered with low APR and no hidden fees.
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
Data Science has experienced a significant surge in recent years, primarily driven by an exponential increase in data generation and the need for businesses to leverage this data effectively. The Caltech Professional Certificate in Data Science and Generative AI program equips you with cutting-edge skills to manage, analyze, and interpret complex data, making you invaluable to employers and the surrounding areas.
According to the Bureau of Labor Statistics, Job growth for data scientists between 2023 and 2033 is projected to be 36%. Data science professionals are instrumental in helping organizations make strategic decisions in an increasingly interconnected world. This comprehensive Data Science and Generative AI program provides a robust foundation in machine learning, deep learning, data visualization, and predictive analytics, enhancing your ability to generate actionable insights from data.
Data science is the scientific study of data for knowledge acquisition and decision-making. It's an interdisciplinary field that blends ideas and methods from other disciplines, such as business strategy, computer engineering, artificial intelligence and machine learning, statistics, and mathematics. To evaluate vast volumes of data, data scientists leverage various tools and techniques, including data modeling and analysis, human-machine interaction, algorithms, machine learning, and deep learning.
The most common data science job roles include data scientist, data analyst, machine learning engineer, data engineer, and business intelligence analyst. Each role has unique responsibilities, such as analyzing data, developing models, designing and maintaining databases, and providing data-driven insights to support business decisions. This data science course provides learners with the knowledge and skills to perform these critical tasks.
A data scientist's essential responsibilities include collecting, cleaning, and analyzing large data sets to extract insights and create predictive and prescriptive models. They are also responsible for data manipulation and visualization, communicating their findings to stakeholders, and collaborating with other teams to identify business problems and provide data-driven solutions.
The online data science course by Caltech CTME, in collaboration with Simplilearn, was created by academic leaders and industry experts. This data science training will help you stand out from the crowd and get the attention of top employers. The curriculum provides a mix of theoretical understanding and hands-on experience. It includes unique hackathons and project-based learning in industry verticals like automobile manufacturing, ecommerce, retail, and telecommunications.
Our online data science course instructors are industry specialists with years of relevant experience. Before they are qualified to train for us, they undergo a thorough selection procedure, including a profile assessment, technical examination, and training demo. IBM industry experts lead specific courses, and Caltech CTME instructors lead masterclasses.
The admission process for this data science course program consists of three simple steps:
All interested candidates must apply through the online application form
An admission panel will shortlist the candidates based on their application
Selected candidates will receive an offer of admission, which they will accept by paying the program fee.
Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools. The contributions of Caltech's faculty and alumni have earned national and international recognition, including 45 Nobel Prizes and 71 National Medals of Science.
Caltech CTME has chosen to team with Simplilearn to co-deliver these online professional programs. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact.