• Next Cohort starts 12 Mar, 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

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

Post Graduation 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, machine learning, data visualization, Generative AI, explainable AI, 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, Midjourney and other prominent tools
  • 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 Graduation in Data Science Program leverages Caltech's academic prowess in helping 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 an online interactive masterclass and get insights about advancements in technology/techniques in Data Science by Caltech

  • 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 Science

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 for employee turnover. Perform different machine learning techniques for performance, and suggest employee retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and perform 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 the end customers are not charged for items that 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 Jobs For Data Science 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

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates 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 to this Post Graduation in Data Science, candidates should have:

2+ years of work experience preferred
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
  • Gain access to Caltech CTME Circle Membership
  • Simplilearn’s Career Assistance post-program completion

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      12 Mar, 2024

      08:30 CDT

    • Regular Classes

      6 Apr, 2024 - 15 Sep, 2024

      08:30 - 12:30 CDT

      Weekend (Sat - Sun)

Other Cohorts

Got questions regarding upcoming cohort dates?

Post Graduation in Data Science FAQs

  • What is the impact of Data Science in 2023?

    Data science is an essential part of any industry today and will continue to be, given the massive amounts of data produced. Meaning both data and the demand for Data Science professionals is only going to rise.

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

    A Data Scientist determines the business questions that need answers and then come up with different approaches to solve the problem, using a wide variety of tools like Tableau, Python, Hive, and more to develop and test new algorithms for faster and more accurate data analytics. A Data Scientist also gathers, merges, and analyzes data to gain insights and simplify data problems to develop strategies and predictive models.

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

    Opportunities in the field are limitless, and job roles in Data Science promise plenty of possibilities and high-paying salaries. In India, the average Data Scientist salary can range from Rs.1,000K to Rs.1,800K based on experience, location, and organization. (according to glassdoor.com) In the US, the salary ranges from $113K to $150K yearly.

  • Is there any minimum education qualification required to apply for this Post Graduation in Data Science?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Post Graduation in Data Science.

  • How do I know if this Post Graduation in Data Science is right for me?

    Learning new skills and expanding your knowledge is always a plus point. This Post Graduation in Data Science is developed in partnership with Caltech University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes this data science program just the right one for you!

  • What are the different roles in Data Science?

    A data science background makes you eligible to work in various job roles such as data scientist, machine learning engineer, business intelligence analyst, data analyst, and data architect. All job roles are highly valued across organizations and are high-paying career options you can explore. Simplilearn’s Post Graduation in Data Science is a great way to develop strong data science fundamentals and skill set to pursue high-paying job roles.

  • Who is the Post Graduation in Data Science 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

    • Seeking to advance their career in the industry

    • Giving shape to entrepreneurial aspirations

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

     We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your course.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Science on your first attempt. They engage with students to ensure adherence to the learning path—helping to enrich their learning experience, from class onboarding to project mentoring and career assistance.

  • What are the other courses offered by Simplilearn in Data Science and Artificial Intelligence Domain?

  • 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.

  • What are the top courses included in this Post Graduation in Data Science program?

    This PG in Data science program gives you a step-by-step guide to learning all the concepts from scratch. The entire syllabus is divided into the following courses:

    • R Programming for Data Science
    • Data Science with R
    • Python for Data Science
    • Data Science with Python
    • Machine Learning
    • Natural Language Processing
    • Tableau Training
    • Data Science Capstone

  • What would be the average package offered after completing this Post Graduation in Data Science?

    The average package offered after completing the Post Graduation in Data Science program from Simplilearn can vary based on factors such as location, industry, and experience. However, graduates typically have the potential to secure competitive salaries, approximately between $66K to $205K, with opportunities for higher earnings as they gain experience and expertise. (Only for US)

  • What certificate will I receive after completing this Post Graduation in Data Science?

    Upon successful completion of this PG Data Science program, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses, and industry-recognized certification from Simplilearn for courses in the learning path.

  • What are the key learning outcomes of the course “Essentials of Generative AI, Prompt Engineering and ChatGPT”?

    The key learning objectives of this course are: 

    • Understand the fundamentals of generative AI models, including the working principles and various generative AI models.

    • Comprehend the concept of explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.

    • Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models.

    • Understand ChatGPT, including its working mechanisms, notable features and limitations.

    • Identify and explore diverse applications and use cases where ChatGPT can be leveraged.

    • Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models 

    • Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse. 

    • Understand the potential of generative AI to revolutionize industries and explore prominent generative AI tools. 

    • Gain insights into the future of generative AI, its challenges and the steps needed to unlock its full potential.

  • What are the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT”?

    Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are: 

    • Generative AI and its Landscape 

    • Explainable AI 

    • Conversational AI 

    • Prompt Engineering 

    • Designing and Generating Effective Prompts 

    • Large Language Models 

    • ChatGPT and its Applications

    • Fine-tuning ChatGPT 

    • Ethical Considerations in Generative AI Models 

    • Responsible Data Usage and Privacy 

    • The Future of Generative AI 

    • AI Technologies for Innovation

  • Why is there a demand for Post Graduation in Data Science?

    Data science has spread its wings across sectors and industries, including, healthcare, finance, retail, e-commerce, and more, making it a lucrative field. And in order to grab the best opportunities in the field, a world-renowned certification (especially from a prestigious university) acts like a career catalyst. Therefore, there is a huge demand for Post Graduation in Data Science programs.

  • What are the benefits of taking this Post Graduation Program in Data Science?

    Simplilearn’s Post Graduation in Data Science in collaboration with Caltech CTME University is one of the most sought-after courses designed by industry experts. This program helps you stand out in the competition and makes it easier to get noticed by top hiring companies. This PG in Data Science is an excellent blend of theoretical knowledge and practical exposure. It encompasses exclusive hackathons and project-based learning with industry datasets from Amazon, UBER, and Mercedes Benz.

  • Are there any refresher courses as part of this Post Graduation in Data Science?

    The following are refresher courses for Post Graduation in Data Science Program to get you started:

    1. Mathematical Refresher for Statistics
    2. Statistics Essential For Data Science
    3. Programming Refresher

  • What are the eligibility criteria for this Post Graduation in Data Science program?

    For admission to this PG in Data Science program, candidates should have:

    • A bachelor's degree with an average score of at least 50 percent

    • Prior knowledge or experience in programming and mathematics

    • 2+ years of formal work experience (preferred)

  • What is the admission process for this Post Graduation in Data Science program?

    The admission process for this PG in Data Science program consists of three simple steps:

    • All interested candidates are required to 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

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

    To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduation in Data Science is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Post Graduation in Data Science Program?

    As a part of this Post Graduation in Data Science, you will receive the following:

    • Caltech CTME program completion certificate

    • Receive up to 14 CEUs from Caltech CTME

    • Masterclasses delivered by distinguished Caltech faculty

    • Caltech CTME Circle membership

    • Online convocation by Caltech CTME Program Director

    • 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more

    • Seamless access to integrated labs

    • Capstone projects in 3 domains

    • Simplilearn’s Career Assistance helps you get noticed by top hiring companies

    • Access to IBM hackathons and IBM Ask Me Anything Sessions

    • IBM certificates for IBM courses

    • 8X higher interaction in live online classes by industry experts

  • 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.

  • How long does it take to complete this Post Graduation in Data Science program?

    The Post Graduation in Data Science could be completed according to your schedule but the anticipated time to complete the overall material of the program is 10-11 months.

  • Is this PG in Data Science program really 100% online? Do I need to attend any classes in person?

    This Post Graduation in Data Science program is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

  • If I want to cancel my enrollment from this PG in Data Science Program, can I get a refund?

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

  • I am not able to access the Post Graduation 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.

  • How will my doubts/questions be addressed in this online PG Data science program?

    We have a team of dedicated admissions counselors who can guide you as you apply for this post graduation in Data Science.

  • 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 I be able to access the content after completion of the Post Graduation in Data Science program?

    Yes, you can access the course content even after the completion of the PG in Data Science program.

  • I am not from a technical background. Can I still join this Post Graduation in Data Science?

    Yes, you can join the Post Graduation in Data Science program even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.

  • 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.

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