• Admission Date
    Announcing Soon
  • Program Duration

    11 months

  • Learning FormatLive, Online, Interactive

Data Science Course Highlights

Embark on your tech journey with Caltech’s PG in Data Science. Learn data analysis and predictive modeling, and earn a prestigious certificate.

  • Caltech CTME

    Program certificate and up to 14 Continuing Education Units (CEUs) from Caltech CTME

    Masterclasses delivered by distinguished Caltech CTME instructors

  • Exposure to Generative AI

    Dedicated course on Generative AI, Prompt Engineering, ChatGPT and much more

    Gain exposure to ChatGPT, DALL-E, Midjourney and other prominent tools

  • Experiential Learning in a Cohort-based Program

    Application-based hands-on training from leading industry experts

    6 months of applied learning: 25+ hands-on projects with seamless access to labs

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Days
Hours
Minutes
Seconds

GET PROGRAME DETAILS

Talk to our Advisor

    • Data Scientist

      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.

      Average Salaries
      $ 125K - $ 308K
      Hiring Companies
      Ernst & Young
      Amazon
      Dell
      Siemens
      IBM
      JP Morgan Chase
    • AI Engineer
    • Machine Learning Engineer

FOR ENTERPRISE

Looking to enroll your employees into this program?

Program Outcomes

Program CertificateProgram Certificate
  • Program completion certificate from Caltech CTME
  • Learn about Generative AI and stay ahead of the curve
  • Exposure to prominent tools such as ChatGPT, Google Bard, Midjourney
  • Circle Membership from Caltech CTME on LinkedIn

Data Science Course Curriculum

  • 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.

  • 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.

ELECTIVES
  • 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.

  • 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.

Skills Covered

  • ChatGPT
  • Conversational AI
  • Data Visualization
  • Descriptive Statistics
  • Ensemble Learning
  • Explainable AI
  • Exploratory Data Analysis
  • Generative AI
  • Inferential Statistics
  • Large Language Models
  • Model Building and Fine Tuning
  • Prompt Engineering

Tools Covered

ChatGPT
Dalle.2
Mid-journey
NumPy
pandas
python
SciPy
MatPlotlib
Microsoft Excel
MySQLFSD
tableau

Industry Projects

An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Data Science Program Advisor

Data Science Course Fee

Program Fee $ 4,000

Pay in Installments

As low as

You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

Program Cohorts

There are no cohorts available in your region currently

Eligibility Criteria

  • A bachelor's degree with an average of 50% or higher marks
  • Basic understanding of programming concepts and mathematics
  • 2+ years of work experience preferred

Best Suited For

  • Software Engineers
  • IT Professionals
  • Aspiring Data Science Professionals
  • Consultants
  • Product Managers

How to Apply for Data Science Course

  • STEP 1Submit Application

    Tell us a bit about yourself and why you want to do this program

  • STEP 2Reserve Your Seat

    An admission panel will shortlist candidates based on their application

  • STEP 3Start Learning

    Selected candidates can begin the program within 1-2 weeks

Demand for Data Science Course in 2025

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. This Post Graduate Program in Data Science equips you with cutting-edge skills to manage, analyze and interpret complex data. It makes you invaluable to employers and areas around it. According to the Bureau of Labor Statistics, the demand for data science professionals is projected to grow 15% by 2029, much faster than the average for all occupations.


Data science professionals are instrumental in helping organizations make strategic decisions in a world that's becoming increasingly interconnected. Caltech’s comprehensive Data Science Post Graduate Program provides a robust foundation in machine learning, data visualization, and predictive analytics, enhancing your ability to generate actionable insights from data.

Data Science Course FAQs

  • What is data science?

  • What are the most common job roles in data science?

  • What are the responsibilities of a data scientist?

  • What are the advantages of enrolling in this Post Graduate Program in Data Science?

  • Who are the instructors for this data science program online, and how are they chosen?

  • What is the admission process for this data science program online?

  • What is the average salary of a data scientist?

  • Is data science a good career choice?

  • Do I need to be a Caltech student to apply for this data science course online?

  • Can I keep working while studying for a data science program with Caltech CTME?

  • Can I join this data science program without a coding background to pursue a career in the field?

  • What do I need to do to become a data scientist?

  • Is there any financial assistance available for this Certificate Program in Data Science?

  • Will I become part of the Caltech CMTE Circle after completing this data science course online?

  • Will missing a live class affect my ability to complete the data science course?

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

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