• Application closes on

    10 Apr, 2025

  • Program duration

    22 weeks

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Caltech's Academic Excellence

    Earn a program certificate and up to 13 Continuing Education Unit (CEU) credits from Caltech CTME

    Earn a program certificate and up to 13 Continuing Education Unit (CEU) credits from Caltech CTME

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    Power BI Certificate Training

    Prepare for the PL-300 exam, enhancing job prospects in data analytics

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    Learn GenAI Applications

    Learn about applications of Generative AI in data analytics through a dedicated GenAI module

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    Hands-on Experience

    Acquire practical experience through 20+ hands-on projects and tools with access to integrated labs

Corporate Training

Enterprise training for teams

Data Analytics Program Overview

Stay updated by learning generative AI, data analytics, data ethics, and more. This program is designed to support learners from various professional backgrounds. Learn core analytics skills such as Excel, SQL, ETL, Tableau, and Power BI, and explore advanced concepts like Python to learn the data analytics process.

Key Features

  • Receive up to 13 Continuing Education Units (CEUs) from Caltech CTME
  • Caltech CTME Circle membership on LinkedIn
  • Online Graduation by Caltech CTME Executive Director
  • Generative AI and prompt engineering: Dedicated courses with live sessions
  • Get exposure to various generative AI tools used in the industry
  • Learn Python programming to make the data analysis process efficient and scalable
  • Explore 20+ hands-on projects and 2 capstone projects with seamless access to integrated labs
  • Curriculum aligned with PL-300: Microsoft Power BI Data Analyst Certification
  • Practice tests to prepare you for the Microsoft Power BI Data Analyst certification exam
  • Simplilearn Career Service helps you get noticed by top hiring companies

Data Analytics Program Advantage

The generative AI and data analytics program combines Caltech's rigorous academic standards with cutting-edge insights. It offers deep expertise in data analytics and generative AI to accelerate career growth.

  • Program Certificate

    Partnering with Caltech CTME

    • Program completion certificate from Caltech CTME
    • Earn up to 13 Continuing Education Units (CEUs) to showcase your achievements
    • Caltech CTME Circle membership on LinkedIn
  • Microsoft Certificate

    Partnering with Microsoft

    • Course completion certificate hosted on the Microsoft Learn portal
    • Learn directly from the Microsoft portal

Data Analytics Program Details

This generative AI and data analytics program offers a curriculum that helps you to learn concepts from fundamentals to advanced. This will equip you with the skills to grow your career in the data analytics domain.

Learning Path

  • PC DA - Induction Session

    Get started with the Data Analytics program in collaboration with Caltech. Kickstart your journey with this induction session, and learn what this carefully curated program offers.

  • PC DA: Business Analytics with Excel
    • Understand the critical need for business analytics
    • Leverage functions and formatting in Excel
    • Conduct data analysis with pivot tables
    • Create effective dashboards
    • Utilize Excel for business analytics
    • Learn statistical data analysis
    • Gain essential Power BI skills
  • PC DA: Data Acquisition and Manipulation using SQL
    • Understand database structures and relationships
    • Gain proficiency in SQL commands and query tools
    • Learn transactions, table creation, and view management
    • Execute complex operations with stored procedures
    • Acquire expertise in SQL fundamentals like filtering, joins, and subqueries
    • Explore SQL functions: strings, math, date/time, pattern matching
    • Manage user access control for database security
  • PC DA: Extract, Transform, and Load (ETL)
    • Learn ETL fundamentals in data analysis
    • Extract structured/unstructured data incrementally
    • Create transformation rules
    • Use ETL tools: Nifi, Talend, etc.
    • Load data into repositories
    • Distinguish between batch vs. real-time ETL
    • Implement real-time processing
    • Optimize with parallel processing
    • Schedule, monitor ETL workflows
  • PC DA: PL-300 Microsoft Power BI Certification
    • Analyze data for valuable business insights with Power BI
    • Create interactive dashboards for effective decision-making
    • Enhance operational efficiency
    • Develop dashboards from published reports
    • Utilize Quick Insights for rapid data pattern discovery
    • Adopt practical approaches within Power BI
  • PC DA: Fundamentals of Python Programming
    • Learn procedural and object-oriented programming 
    • Install and navigate Jupyter 
    • Learn data types, loops, scope, OOP principles, methods, attributes, and threading
    • Understand Python's benefits and use cases
       
  • PC DA: Data Analytics with Python
    • Python packages for data analytics​
    • Statistical functions
    • Categorical data and working with text data
    • Explorative Data Analysis (EDA)
    • Hypothesis testing mechanism
    • Data visualization
  • PC DA: Essentials of Generative AI, Prompt Engineering, and ChatGPT
    • Grasp AI fundamentals and generative AI models
    • Apply prompt engineering to control the generated output
    • Comprehend ChatGPT mechanisms, features, and limitations
    • Explore ChatGPT applications and use cases
    • Learn refining prompts in ChatGPT
    • Recognize ethical issues in generative AI and ChatGPT
    • Gain insights into future generative AI challenges
  • PC DA: Applications of Generative AI in Data Analytics
    • Overview of generative AI in data analytics
    • Data augmentation using generative AI
    • Generative AI for tailored data visualization
    • Generative AI in data exploration
    • AI-optimized ETL processes
    • Generative AI in data modeling and forecasting
    • Challenges in integrating generative AI
    • Future directions in generative AI
  • PC DA: Capstone Project

    Combine your newly acquired Data Analytics skills with hands-on, industry-relevant projects that bring together all course elements into a portfolio-worthy capstone.

Electives:
  • PC DA: Data Visualization using Tableau
    • Gain Tableau visualization expertise
    • Emphasize data organization for insightful visuals
    • Learn combo charts, stories, filters, parameters, and sets
    • Learn interactive dashboard creation
    • Take a practical approach to informed decision-making
  • PC DA: Data Ethics
    • Grasp the core relevance of data ethics in analytics
    • Comprehend GDPR and CCPA in legal frameworks
    • Explore data privacy and informed consent
    • Emphasize data security and access prevention
    • Prioritize transparency and accountability
    • Study bias and fairness in data and algorithms
    • Learn ethical decision-making in real-world scenarios

Contact Us

1-844-532-7688

( Toll Free )

10+ Skills Covered

  • Generative AI
  • Data Ethics
  • Data Analytics
  • Data Visualization
  • Python
  • SQL
  • ETL
  • Statistical Analysis
  • Data Storytelling
  • Prompt Engineering

24+ Tools Covered

Microsoft ExcelSQLtableaupythonMatplotlib-DecNumPypandasJUPYTERAWS GLUEamazon s3ChatGPTZapier-DecInvideo.aiUizardOtter AIJulius.aiMIROGemini-DecDescript-DecClaude-DecSORAMOSTLYAIRPowerBI

Industry Project

  • Project 1

    Ecommerce Sales Analysis Using Excel Dashboards

    Analyze an e-commerce store's performance using Excel. Build interactive dashboards to prepare, visualize, and assess sales trends across different product categories

  • Project 2

    Predictive Analysis of Restaurant Tips Using Regression Models

    Clean and analyze restaurant tip data to build a predictive model. Use regression and encode variables to estimate tip amounts, providing insights to enhance service quality

  • Project 3

    SQL Based Employee Performance Mapping Solution

    Use SQL databases to map employee performance and construct appraisal reports for a data science startup. Analyze ratings, salaries, and bonuses to back the appraisals.

  • Project 4

    Air Cargo Analysis with SQL

    Analyze and optimize data for Air Cargo to boost customer experience and operational efficiency. Identify regular customers, analyze busy routes, and review ticket sales details

  • Project 5

    Streamlining Retail Data Management

    Enhance ABC Retail's data management with AWS Glue. Integrate and analyze sales and product data to optimize inventory, marketing strategies, and business performance

  • Project 6

    Social Media Data Management

    Use AWS Glue to integrate and analyze Twitter and blogs data, uncovering insights into customer sentiment and trends to refine marketing strategies and boost business performance

  • Project 7

    Creating a Shopping App Using Python

    Develop the backend for a shopping app using Python. Master data preparation, authentication, and cart management while gaining real-world experience in backend development.

  • Project 8

    Expense Tracker App Development Using Python

    Build a Python expense tracker app to record, categorize, and report daily expenses. Implement features like user log in, expense categorization, and CSV export for data management

  • Project 9

    Sales Performance Analysis Using Data Visualization

    Analyze AAL’s sales data to derive insights and guide investment decisions. Use charts and graphs to visualize data, creating comprehensive reports for strategic planning

  • Project 10

    Analyzing Marketing Mix Impact on Customer Acquisition

    Explore the marketing mix’s impact on customer acquisition. Use EDA and hypothesis testing to analyze product, price, place, and promotion data for actionable insights

  • Project 11

    ChatGPT Based Storytelling

    Design an interactive storytelling adventure using ChatGPT to collaboratively create unique and engaging narratives without coding

  • Project 12

    Virtual Project Management Consultant

    Create prompts for ChatGPT to function as a virtual project management consultant, focusing on project planning, risk management, team collaboration, and performance tracking.

  • Project 13

    Insurance Dashboard Empowering Agent Insights with Power BI

    This project improves agent segmentation and performance analysis for an insurance group using Power BI to visualize key metrics, and optimize sales data insights

  • Project 14

    Zomato Data Insights Enhancing Restaurant Analytics with Power BI

    This project develops an interactive Power BI report for Zomato enabling analysis of global restaurant data to uncover hidden irregularities and assess overall business performance

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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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

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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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps 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

30-day premium subscription to career.io

30-day premium subscription to career.io

Join the Data Analytics Industry

The data analytics industry is rapidly expanding, projected to surge at a compound annual growth rate (CAGR) of 26.7% to $302.01 billion by 2030 (source), driven by technological advancements and escalating demand for actionable insights.

Job Icon$302.01 bn

The Global Data Analytics Market By 2030

Source: Grandview Research
Job Icon25%

YoY job market growth in data analytics

Source: LinkedIn
Job Icon$60k-$120k

Average Annual Salary for a Data Analyst

Source: Glassdoor

Batch Profile

This Data Analytics certification program caters to working professionals across industries. The learner diversity adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Technology and IT - 15%BFSI - 12%Pharma & Healthcare - 11%Production & Industry - 3%Retail - 2%Others - 57%

    *Based on Simplilearn's enrolment data of past two years

    Companies
    Apple
    Amazon
    Walmart
    Visa
    Wells Fargo
    Accenture
    CVS Health
    IBM
    Bank of America
    Robert Half

Admission Details

Application Process

The application process consists of 3 simple steps. An offer of admission will be made to the selected candidates and can be 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

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Data Analytics program, candidates:

Are not required to have prior work experience
Must be at least 18 years old with a high school diploma or equivalent
Don’t need prior coding experience or technology know-how

Admission Fee & Financing

The admission fee for the Caltech Data Analytics program is $4,000. This fee also includes all applicable program charges.

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.

Total Program Fee

$4,000

Pay In Installments, as low as

$400/month

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

Apply Now

Program Benefits

  • Complete this Data Analytics program while you work
  • Generative AI aligned curriculum
  • Caltech CTME Circle membership on LinkedIn
  • Up to 13 Continuing Education Units (CEUs) from Caltech CTME
  • Integrated labs for hands-on learning

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Data Analytics Program FAQs

  • What are the eligibility criteria for this Data Analytics Program in collaboration with Caltech CTME?

    For admission to this Data Analytics program, candidates:

    • Are not required to have prior work experience

    • Must be at least 18 years old and have a high school diploma or equivalent

    • Don’t need prior coding experience or technology know-how 

  • Who is the Data Analytics Program ideal for?

    This AI Data Analytics Program is ideal for professionals eager to develop expertise in data analytics with the objective of: 

    • Enhancing effectiveness in their current role

    • Transitioning to data analytics roles in their respective organizations

    • Advancing their career in the industry

    • Giving shape to entrepreneurial aspirations

  • What is the admission process for this Data Analytics Program in collaboration with Caltech CTME?

    The admission process for this AI Data Analytics 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?

    To ensure money is not a barrier in the learning path, we offer various financing options to help ensure that this AI Data Analytics Program is financially manageable. For more details, please refer to our “Admissions Fee and Financing” section.

  • What should I expect from the Caltech Data Analytics Program?

    As a part of this AI Data Analytics Program, you will receive the following:

    • Caltech Data Analytics Program Certificate

    • Up to 13 CEUs from Caltech CTME

    • Caltech CTME Circle membership

    • Online Convocation by Caltech CTME Executive Director

    • Simplilearn Career Service to help you get noticed by top hiring companies

    • Access to integrated data analytics labs

  • What certificate will I receive?

    Upon successful completion of this AI Data Analytics Program, you will be awarded a certificate of completion from Caltech CTME.

  • How long does it take to complete this AI Data Analytics Program with Caltech CTME?

    The program can be completed according to your schedule but the anticipated time to complete the overall material of the program is six months.

  • Is this course really 100% online? Do I need to attend any classes in person?

    This course is completely online, so attending an in-person classroom is unnecessary. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

  • 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. Moreover, you will have lifetime access to the community forum even after completing your course.

  • If I want to cancel my enrollment, can I get a refund?

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

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified on your first attempt. They proactively 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.

  • I am not able to access the Caltech AI Data Analytics Program. Who can help me?

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

Related Programs

  • Acknowledgement
  • 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.