• Program Duration44 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Apr 17th, 2024

Data Science Course Highlights

Embark on your tech journey with Caltech’s PG in Data Science. Master the art of data analysis and predictive modeling and earn a prestigious certificate.

  • Caltech CTME

    Program certificate and up to 14 CEU credits from Caltech CTME

    Masterclasses delivered by distinguished Caltech CTME instructors

  • Gain Generative AI Mastery

    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 practical 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



Career Opportunities after Data Science training

    • 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
      $ 66K - $ 200K
      Hiring Companies
      Ernst & Young
      JP Morgan Chase
    • Data Analyst
    • Business Analyst

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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
  • Earn up to 14 CEUs and Circle Membership from Caltech CTME

Data Science Course Curriculum

  • 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.

  • 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.

  • Kickstart your learning by getting an understanding of the Python language and its libraries, and writing scripts using the Jupyter-based lab environment with this Python for Data Science course.

  • 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 Tableau course unlocks a comprehensive understanding of creating captivating visualizations, optimizing data organization, and designing informative charts and dashboards to facilitate astute business decisions. Throughout the program, you'll delve into data visualization concepts, gain proficiency in crafting diverse combo charts and stories, and learn to work adeptly with filters, parameters, and sets. Additionally, you'll master the art of constructing interactive dashboards.

  • 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.

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

Microsoft Excel

Industry Projects


    Data Science Course Program Advisor

    Data Science Course Fee

    Program Fee $ 4,500

    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.

    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 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can begin the program within 1-2 weeks

    Demand for Data Science Course in 2024

    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 a PGP data science certification?

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