• Admission Date

    Announcing Soon

  • Program duration

    6 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enterprise training for teams

    Learning Path

    • Induction Class for Caltech Post Graduate Program in Data Science

      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.

    • PGC DS- Programming Refresher
      • Acquire proficiency in both procedural and object-oriented programming.
      • Recognize the advantages and benefits of using Python as a programming language.
      • Install Python and its integrated development environment.
      • Familiarize yourself with the Jupyter Notebook and its hands-on applications.
      • Implement Python identifiers, indentations, and comments effectively.
      • Understand Python's data types, operators, and string functions.
      • Learn about the various types of loops in Python.
      • Describe methods, attributes, and access modifiers in Python.
    • PGC DS- SQL
      • Attain a thorough grasp of databases and their interconnections.
      • Gain proficiency in utilizing popular query tools and handling SQL commands.
      • Learn managing databases efficiently, covering transactions, table creation, and utilizing views.
      • Comprehend and successfully execute stored procedures for the execution of complex operations.
      • Explore a range of SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
      • Grasp the functions related to user access control to ensure the security of databases.
    • PGC DS- Applied Data Science with Python
      • Learn phases of data preparation, model construction, and assessment.
      • Develop a solid grasp of NumPy and its hands-on applications, encompassing array indexing and slicing techniques.
      • Elaborate on the null hypothesis and the alternative hypothesis within the context of hypothesis testing.
      • Examine various hypothesis tests, including the Z-test, T-test, and ANOVA.
      • Engage with pandas' core data structures, namely Series and DataFrame.
      • Leverage pandas for tasks.
      • Generate compelling visualizations using libraries like Matplotlib, Seaborn, Plotly, and Bokeh.
    • PGC DS- Machine Learning
      • Scrutinize the machine learning pipeline and attain a thorough comprehension of the essential processes integral to machine learning operations
      • Investigate both supervised and unsupervised learning techniques.
      • Detect and generate correlation maps to explore the relationships between variables.
      • Enumerate various types of classification algorithms and grasp their specific hands-on applications.
      • Explore assorted ensemble modeling methods, such as bagging, boosting, and stacking.
      • Construct a recommendation system utilizing PyTorch.
    • PGC DS - Deep Learning Specialization

      • 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.

    • PGC DS - Generative AI Literacy

      • Supervised & Unsupervised Learning

      • Transformers

      • Generative Adversarial Network(GAN)

      • OpenAI Playground 

    • PGC DS - Generative AI for Data Professionals

      • 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

    • PGC DS - Prompt Engineering Essentials - IBM

      • 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

    • PGC DS - Data Science Capstone Project

      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:
    • PGC DS - Academic Masterclass by Caltech

      Attend online interactive masterclasses delivered by Caltech instructors and get insights about the advancements in the data science domain.

    • PGC DS - Industry Masterclass

      Attend this online interactive industry master class to gain insights about Data Science advancements

    • PGC DS- Data Storytelling using PowerBI
      • Acquire the knowledge and techniques to scrutinize data and derive valuable insights 
      • Craft interactive dashboards that facilitate data visualization
      • Enhance overall operational efficiency and effectiveness within your organization.
      • Learn the art of crafting dashboards from existing published reports.
      • Explore the utilization of Quick Insights to uncover valuable data patterns swiftly.
      • Acquire valuable troubleshooting techniques to address potential issues effectively.
    • PGC DS - Generative AI Essentials - IBM

      • 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

    • PGC DS - Generative AI Skills for Data Scientists - IBM

      • 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

    • PGC DS - Natural Language Processing

      • Explore applying ML to natural language data.

      • Focus on natural language understanding.

      • Learn feature engineering for NLP.

      • Study natural language generation.

    Contact Us

    1-844-532-7688

    ( Toll Free )

    19+ Tools Covered

    ChatGPTDalle.2Mid-journeyNumPypandasSciPypythonMatPlotlibMicrosoft ExcelMySQLFSDtableauScikitLearnPowerBISeaborntensorflowkerasZapierSQLGemini

    Program Advisors

    • Nicholas Beaudoin

      Nicholas Beaudoin

      Caltech CTME, Director of Strategic Partnerships

      Mr. Beaudoin is the Director of AI Programs at Caltech’s CTME where he works with strategic AI partnerships and also advises and teaches many of the CTME AI/ML related offerings.

    • Rick Hefner

      Rick Hefner

      Caltech CTME, Executive Director

      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. 

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      PG in Data Science FAQs

      • What is Data Science?

        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.

      • What are the top responsibilities of a data science professional?

        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:

        • Identify valuable data, automate its collection, and analyze it to find trends and patterns
        • Preprocess structured and unstructured data
        • Build machine learning algorithms and predictive models and combine them with ensemble modeling
        • Leverage data visualization tools to present insights to stakeholders
        • Collaborate with product development, engineering, and IT operations teams
        • Recommend solutions and strategies to solve business problems

        Explore: A Day in the Life of a Data Scientist

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

        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.

      • Who is the PG data science program ideal for?

        This online data science course is ideal for professionals eager to develop expertise in data science with the objective of: 

        • Enhancing effectiveness in their current role
        • Transitioning to data science roles in their respective organizations
        • Advancing their career and enabling entrepreneurship

      • Who are the instructors for this PG data science program, and how were they selected?

        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.

      • How do I enroll in the PG data science program?

        The admission process for this PG data science 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
        • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee.

      • What is the salary potential of a data science professional?

        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.

      • What is the career path after completing the Post Graduate Data Science Program?

        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.

      • Will any preparation material be provided to help me get started?

        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.

      • Can I enroll in this PG data science program without any prior knowledge of the topic?

        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.

      • What is covered under the 24/7 Support promise?

        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.

      • What is the refund policy for this PG data science program?

        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.

      • Does Simplilearn have corporate training solutions?

        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.

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

        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.

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      • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.