• Admission closes on 28 Jun, 2024
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Caltech Academic Excellence

Earn a program certificate and up to 14 CEU credits from Caltech CTME

Gain Generative AI Mastery

Dedicated course on the latest AI trends, Generative AI, prompt engineering, ChatGPT, and more

IBM’s Industry Expertise

Obtain industry-recognized IBM certificates for IBM courses and get access to masterclasses by IBM

Caltech CTME Benefits

Access to Caltech CTME Circle membership and online convocation by Caltech CTME Executive Director

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Fast-track Your Career

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.

Our Placement Stats

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

PG in Data Science Overview

This Post Graduate Program in Data Science leverages the superiority of Caltech's academic eminence, covering critical data science topics like Python, R, exploratory data analysis, machine learning, data visualization, generative AI, prompt engineering, ChatGPT, and more through an interactive learning model with live sessions led by global practitioners.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Earn a program completion certificate from Caltech CTME
  • Curriculum delivered in live online sessions by industry experts
  • Earn up to 14 CEUs from Caltech CTME
  • Masterclasses delivered by distinguished Caltech CTME instructors
  • Online convocation with the Caltech CTME Executive Director
  • Live interactive sessions on the latest AI trends, such as Generative AI, prompt engineering, explainable AI, and more
  • Learn about ChatGPT, DALL-E 2, Midjourney, and other prominent tools
  • Industry-recognized IBM certificates for IBM courses
  • Access to masterclasses, hackathons, and Ask Me Anything sessions from IBM
  • Industry-relevant capstone projects in 3 domains
  • Explore 25+ hands-on projects with seamless access to integrated labs

PG in Data Science Advantage

This Post Graduate Program in Data Science leverages Caltech's academic prowess to help you pursue a successful data science career.

  • Program Certificate

    Partnering with Caltech CTME

    • Masterclasses delivered by distinguished Caltech CTME instructors
    • Program completion certificate from Caltech CTME
    • Earn up to 14 CEUs to showcase your achievements
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Ask Me Anything sessions and hackathons

PG in Data Science Details

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.

Learning Path

  • 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.

    • 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 practical 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.
    • Attain a thorough grasp of databases and their interconnections.
    • Gain proficiency in utilizing popular query tools and handling SQL commands.
    • Achieve mastery in 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.
    • 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.

    • Delve into the phases of data preparation, model construction, and assessment.
    • Develop a solid grasp of NumPy and its practical 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.
    • 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 practical applications.
    • Explore assorted ensemble modeling methods, such as bagging, boosting, and stacking.
    • Construct a recommendation system utilizing PyTorch.
    • Attain mastery in a range of visualization techniques,
    • Demonstrate adeptness in strategically using filters, parameters, and sets for effective data manipulation.
    • Become skilled in the utilization of special field types and Tableau-generated fields.
    • Acquire the knowledge and skills to craft diverse charts, interactive dashboards, and engaging story interfaces.
    • Develop proficiency in data blending, the creation of data extracts, and the efficient organization and formatting of data.
  • 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.

Electives:
    • Acquire an understanding of mathematical concepts, variables, strings, vectors, factors, and operations involving vectors.
    • Develop a foundational grasp of arrays, matrices, lists, and data frames in R.
    • Gain insight into topics including conditions, loops, functions, objects, classes, and debugging within the R environment.
    • Learn how to effectively import and manipulate text, CSV, and Excel files, as well as write and store data objects in R.
    • Comprehend the manipulation of strings and date-related operations in R.
       
  • 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

    • Comprehend the significance of business analytics and its role in the industry.
    • Gain a foundational understanding of Excel analytics functions and the utilization of conditional formatting.
    • Acquire the skills to analyze intricate data sets using pivot tables and slicers.
    • Apply statistical methodologies and principles, including moving averages, hypothesis testing, ANOVA, and regression, to data sets within Excel.
    • Depict your insights and results through the creation of charts and dashboards.
    • 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.
    • Establish a foundational understanding of artificial intelligence and generative AI models.
    • Grasp the concept of explainable AI.
    • Implement effective prompt engineering methods to enhance performance.
    • Recognize and explore various applications and practical scenarios where ChatGPT can be employed.
    • Familiarize yourself with fine-tuning techniques to tailor and optimize ChatGPT models
    • Acknowledge the ethical dilemmas associated with generative AI models and ChatGPT.
    • Gain a perspective on the future of generative AI, including the challenges it may face as it evolves.

Skills Covered

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

Tools Covered

ChatGPTDalle.2Mid-journeyNumPypandaspythonSciPyMatPlotlibMicrosoft ExcelMySQLFSDtableau

Industry Projects

  • Project 1

    Sales Analysis

    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.

  • Project 2

    Employee Performance Analysis

    Create ML programs to understand different factors contributing to employee turnover. Perform different ML techniques for performance, and suggest employee retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and cluster analysis to create cohorts of songs. The classification would help to create an efficient recommendation system.

  • Project 4

    Creation of an Interactive Sales Dashboard

    Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.

  • Project 5

    Crime Analysis with Tableau Dashboard

    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.

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.

  • Project 7

    Develop Ecommerce app with Python

    Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options.

  • Project 8

    Weather Prediction

    Create a classification model using ten years of rainfall data to predict the weather for different locations across Australia.

  • Project 9

    Credit Card Fraud Analysis

    Utilize data science and machine learning methodologies. Identify fraudulent credit card transactions so that end customers are not charged for items they did not purchase.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors

  • 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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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

Join the Data Science industry

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.

Job Icon28%

Annual Job Growth by 2026

Source: Market Research Rpt
Job Icon11.5 M

Expected New Data Science Jobs by 2026

Source: US bureau of Labor
Job Icon$86K - $157K

Average Annual Salary

Source: Glassdoor

Batch Profile

This PG Data Science program caters to working professionals across industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 41%Consulting - 20%Pharma & Healthcare - 8%Manufacturing - 8%BFSI - 8%Others - 15%
    Companies
    PricewaterhouseCoopers
    Citigroup
    Tata Consultancy Services
    Abbott
    Bosch
    GE Aviation
    Accenture
    Ernst & Young
    VMware
    Amazon
    Nvidia
    Dell

Admission Details

Application Process

There are just three easy stages in the application procedure. The chosen candidates will receive an offer of admission, which they may accept by paying the admission fee.

STEP 1

Submit Application

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

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission into this Post Graduate Program in Data Science, candidates should have:

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

Admission Fee & Financing

The admission fee for this PG in Data Science program is $ 4,500.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 4,500

Apply Now

Program Benefits

  • Program certificate & up to 14 CEUs from Caltech CTME
  • Exposure to ChatGPT, generative AI, explainable AI and more
  • Masterclasses led by distinguished Caltech instructors
  • Access to Caltech CTME Circle membership
  • Simplilearn’s Career Assistance post-program completion

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      23 Jul, 2024

      08:30 CDT

    • Regular Classes

      5 Oct, 2024 - 30 Mar, 2025

      08:30 - 12:30 CDT

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

PG in Data Science FAQs

  • What is Data Science?

    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.

  • Who is the PG Data Science Program ideal for?

    • Professionals eager to develop expertise in Data Science with the objective of: 

    • Those looking to enhance effectiveness in their current role

    • Anyone transitioning to Data Science roles in their respective organizations

    • Those seeking to advance their career or with entrepreneurial aspirations

  • What are the top roles and responsibilities of a Data Science Professional?

    Data scientists determine the business questions that need answers and devise different solutions. They use tools like Tableau, Python, Hive, and more to develop and test new algorithms for faster and more accurate data analytics. They also gather, merge, and analyze data to gain insights and simplify problems to develop strategies and predictive models.

  • Why is there a demand for the Post Graduate in Data Science Program?

    Data science covers various industries, including healthcare, finance, retail, e-commerce, and more, making it lucrative. A world-renowned certificate (especially from a prestigious university) is a career catalyst to grab the best opportunities in the field. Hence, there is a huge demand for a Postgraduate Data Science Program.

  • 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 salary for a Data Scientist is $1,55,263 per year.

  • Can I enroll in this PG Data Science program if I don't have any prior knowledge in Data Science?

    Yes, you can enroll in the PG Data Science program even if you don’t have any prior knowledge in Data Science since this Post Graduation in Data Science will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Science skills.

  • Who are the instructors for this PG in Data Science Program and how are they selected?

    All of our highly qualified Data Science instructors are industry experts with years of relevant industry experience. Each of them 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 those trainers with a high alumni rating remain part of our faculty.

  • 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 also will get access to a preparatory course. You will have to go through the assigned course before starting the first class, which consists of self-paced learning content in the form of videos.

  • Is there any financial aid provided for this PG in Data Science Program?

    To ensure that money is not a barrier to learning, we offer various financing options to help make this PG in Data Science Program manageable. For more details, refer to our “Admissions Fee and Financing” section.

  • I am not able to access the PG Program in Data Science. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Can I get a refund if I want to cancel my enrollment in this PG in Data Science Program?

    No refund will be applicable once you make the partial/full payment.

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