• Admission closes on 24 Apr, 2024
  • Program Duration 6 months
  • Learning Format Online Bootcamp

Why Join this Program

Caltech Academic Excellence

Earn a bootcamp certificate and up to 13 CEU credits from Caltech CTME

Caltech Campus Visit

Gain CTME Circle membership and participate in Caltech’s campus visit initiative

Gain Generative AI Mastery

Dedicated course on generative AI, prompt engineering, ChatGPT, and its applications in analytics

Hands-on Experience

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


Looking to enroll your employees into this program ?

Data Analytics Bootcamp Overview

The Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as Excel, SQL, ETL, data visualization with Tableau, Python programming, R programming, Generative AI, data storytelling, data ethics, and more.

Key Features

  • Data Analytics Bootcamp certificate from Caltech CTME
  • Caltech CTME Circle membership
  • Receive up to 13 CEUs from Caltech CTME
  • Live sessions on the latest AI trends, such as Generative AI, prompt engineering, and more
  • Learn about ChatGPT, DALL-E, Midjourney & other prominent tools
  • Online convocation by Caltech CTME Executive Director
  • 20+ hands-on projects and 3 capstone projects with seamless access to integrated labs
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Curriculum delivered in live online sessions by industry experts

Data Analytics Bootcamp Advantage

The Data Analytics Bootcamp merges extensive academic excellence and pioneering insights from Caltech. Gain profound expertise in data analytics to propel your career forward through this program.

  • Bootcamp Certificate

    Partnering with Caltech CTME

    • Bootcamp completion certificate from Caltech CTME
    • Earn up to 13 CEUs to showcase your achievements
    • Caltech CTME Circle membership

Data Analytics Bootcamp Details

The comprehensive Data Analytics Bootcamp curriculum covers the concepts of Excel, SQL, ETL, Python, Tableau, Generative AI, and data ethics for comprehensive data-driven insights and informed decision-making.

Learning Path

    • 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
    • Master statistical data analysis
    • Gain essential Power BI skills
    • Understand database structures and relationships
    • Gain proficiency in SQL commands and query tools
    • Master 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
    • Master 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
    • Gain Tableau visualization expertise
    • Emphasize data organization for insightful visuals
    • Learn combo charts, stories, filters, parameters, and sets
    • Master interactive dashboard creation
    • Take a practical approach to informed decision-making
    • Master procedural and object-oriented Python 
    • Install and navigate Jupyter 
    • Learn data types, loops, scope, OOP principles, methods, attributes, and threading
    • Understand Python's benefits and use cases
    • Master data acquisition via APIs
    • Manage databases using SQL and Python
    • Learn the fundamentals of statistics
    • Comprehend probability distributions
    • Understand advanced statistical analysis
    • Perform statistical analysis using Python
    • Execute hypothesis testing techniques
    • Carry out correlation and regression analysis
    • Perform a time series analysis
    • Conduct ANOVA & Chi-square tests
  • Combine your newly acquired skills from this Data Analytics Bootcamp together with hands-on, industry-relevant projects that compile every course into one portfolio-worthy capstone.

    • Grasp AI fundamentals and generative AI models
    • Understand explainable AI's significance and approaches
    • Apply prompt engineering for generative AI control
    • Comprehend ChatGPT mechanisms, features, and limitations
    • Explore ChatGPT applications and use cases
    • Learn ChatGPT fine-tuning techniques
    • Recognize ethical issues in generative AI and ChatGPT
    • Gain insights into future generative AI challenges
    • Understand the application of generative AI in data analytics
    • Uncover insights and anomalies via generative AI
    • Enhance ETL with AI for data transformation
    • Forecast trends and simulate scenarios using AI
    • Identify AI integration challenges in data projects
    • Recognize future trends: Quantum computing and ethical AI
    • 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
    • Master R programming 
    • Acquire data import/export skills in R
    • Use Apply and DPLYR functions for data manipulation
    • Gain proficiency in R graphics for visualization
    • Apply regression and classification in R
    • Learn Apriori and clustering techniques
    • 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
    • Apply ethics in data visualization
    • Examine ethics in ML and AI development

Skills Covered

  • Generative AI
  • Prompt Engineering
  • Data Analytics with Python
  • Data Analytics using R
  • SQL
  • Data Visualization with Tableau
  • Data Storytelling with Power BI
  • Extract Transform and Load
  • Statistical Analysis using Excel
  • Linear and Logistic Regression
  • Supervised Learning
  • Unsupervised Learning
  • Data Mining
  • Building Data Pipelines
  • Regression Analysis
  • Clustering using K means

Tools Covered

MySQLFSDpythonMicrosoft ExcelScikitLearnNumPypandastableauRPowerBIChatGPTDalle.2

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. 


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 Analytics industry

The data analytics industry is rapidly expanding, projected to surge at a CAGR of 25.4% to $132.9 billion by 2026, driven by technological advancements and escalating demand for actionable insights.

Job Icon$132.9 bn

The global data analytics market by 2026

Source: Mordor Intelligence
Job Icon25%

Expected Growth in Data Analytics Jobs by 2030

Source: Linkedin
Job Icon$109 K

Annual Median Salary for Data Analyst

Source: Glassdoor

Batch Profile

Data Analytics Bootcamp caters to working professionals from a variety of industries backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 32%BFSI - 19%Software Product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Nomura Holdings
    Tata Consultancy Services

Learner Reviews

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.


Submit Application

Tell us a bit about yourself and why you want to do Data Analytics Bootcamp


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Data Analytics Bootcamp, candidates should have:

Are encouraged to have prior work experience, but not mandatory
Be at least 18 years+ and have a High School Diploma or equivalent
Prior coding experience or technology know-how is optional

Admission Fee & Financing

The admission fee for this Data Analytics Bootcamp is $ 8,500

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.


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 8,500

Apply Now

Program Benefits

  • Complete this Data Analytics bootcamp while you work
  • Rigorous curriculum designed by industry experts
  • Caltech CTME Circle Membership
  • Receive up to 13 CEUs from Caltech CTME
  • Hands-on projects with access to integrated labs

Program Cohorts

Next Cohort

    • Date


      Batch Type

    • Program Induction

      24 Jun, 2024

      20:00 CDT

    • Regular Classes

      24 Jun, 2024 - 10 Dec, 2024

      20:00 - 23:00 CDT

      Weekday (Mon-Thu)

Got questions regarding upcoming cohort dates?

Data Analytics Bootcamp FAQs

  • Who is the Data Analytics Bootcamp 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
    • Seeking to advance their career in the industry
    • Giving shape to entrepreneurial aspirations

  • Are there any online data analytics bootcamps available and how do they compare to in-person programs?

    Simplilearn provides the best data analytics bootcamp online programs. There are various courses to cater to the varying experience and knowledge levels of the learners. For detailed information, check out all of Simplilearn’s Data Analytics Bootcamp courses.

  • Can a data analytics bootcamp help transition to a career in data analytics without prior experience?

    Yes! People who are complete beginners with no prior experience in data analytics can build practical and job-ready data analytics skills with Simplilearn’s data analyst bootcamp courses. Many of the courses require no prior technical experience. For more details about the best Data Analytics Bootcamp programs, click here

  • How can attending an online data analytics bootcamp accelerate your career as a data analyst?

    Attending a Data Analyst Bootcamp online can increase your chances of getting recognized by the industry. It also gives you a competitive edge over professionals who are not certified when negotiating better positions and pay packages in industries. The best data analytics bootcamp programs will also provide you placement support and reliable industry connections.

  • What are the eligibility criteria for this Caltech Data Analytics Bootcamp?

    For admission to this Data Analytics Bootcamp, 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


  • What is the admission process for this Caltech Data Analytics Bootcamp?

    The admission process for this Data Analytics Bootcamp 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 path of learning, we offer various financing options to help ensure that this Data Analytics Bootcamp is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details

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

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

    • Caltech Data Analytics Bootcamp 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 Data Analytics Bootcamp, you will be awarded a certificate of completion by Caltech CTME.

  • How long does it take to complete this Caltech Data Analytics Bootcamp?

    The Bootcamp could be completed according to your schedule but the anticipated time to complete the overall material of the Bootcamp is 6 months

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

    This Data Analytics Bootcamp 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.

  • 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 Data Analytics Bootcamp.

  • 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 in 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 CTME Data Analytics Bootcamp. 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.

  • What's a Data Analytics Bootcamp?

    A data analytics bootcamp is an intensive, short-term training program that teaches individuals the skills needed to become data analysts. Bootcamps typically cover topics such as data acquisition, data cleaning and processing, statistical analysis, and data visualization. They are designed to provide hands-on, practical experience with real-world data sets and tools used in the industry. Bootcamps may be offered in-person or online and can range in duration from a few weeks to a few months.

  • What does a Data Analytics professional do?

    A data analytics professional is responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions. They use a variety of tools and techniques to clean and process data, create statistical models, and visualize data in a way that is easy to understand. Data analytics professionals may also be involved in developing and implementing strategies to improve data quality and ensure data security. They work across many industries and may specialize in areas such as marketing, finance, or healthcare.

  • What can I expect from this Caltech Data Analytics Bootcamp?

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

    • Caltech Data Analytics Bootcamp Certificate
    • Caltech CTME Circle Membership
    • Online Convocation by Caltech CTME Program Director
    • Simplilearn Career Service helps you get noticed by top hiring companies
    • Access to integrated Data Analytics labs

  • Who is the Data Analytics Bootcamp ideal for?

    The Data Analytics Bootcamp is ideal for individuals who are interested in pursuing a career in data analytics or data science. This may include recent graduates, career changers, or professionals who are looking to develop new skills. The bootcamp is suitable for individuals with little to no prior experience in data analytics, as well as those with some background knowledge who are looking to expand their skill set.

  • What skills will you get from this Data Analytics Bootcamp?

    This Data Analytics Bootcamp helps you develop some of the most important technical skills like statistical analysis using Excel, linear regression, logistic regression, data analytics using Python, data manipulation, data visualization with Tableau, and so on.

  • What are the learning objectives of this Data Analytics Bootcamp?

    The learning objectives of the Caltech Data Analytics Bootcamp include gaining a solid foundation in data analytics, including statistical analysis, data manipulation, and data visualization. Apart from theoretical knowledge, you will gain practical exposure by working on industry projects and tools like MS Excel, Tableau, and Python.

  • What are the prerequisites to access before enrolling in this Data Analytics Bootcamp?

    No prior coding experience or technical know-how is required for this Data Analytics Bootcamp. Anyone with a high school diploma or equivalent can opt for this Bootcamp.

  • What does the program structure of this Data analytics Bootcamp look like?

    This Data Analytics Bootcamp follows an applied learning approach, wherein you will go through a dedicated learning path involving theoretical classes and practical sessions. The syllabus is structured in such a way that basic topics are covered first, and advanced topics are covered later. The program also involves working on industry projects where you get a chance to apply your data analysis skills in real-world scenarios.

  • What job roles can I go into after completing this Data Analytics Bootcamp?

    After completing this Data Analytics Bootcamp, participants can pursue various job roles such as data analyst, business analyst, data scientist, or BI analyst.

  • What are the highest-paying data analytics jobs?

    Some of the highest-paying data analytics jobs include data scientist, machine learning engineer, and business intelligence analyst. These roles require advanced skills and experience in data analytics, statistics, programming, and machine learning. The salaries for these positions can vary depending on factors such as location, industry, and level of experience, but they typically range from $90,000 to $150,000 or more per year.

  • What is the cost for this Data Analytics Bootcamp?

    The total admission fee for this Data Analytics Bootcamp is $10,000. There are a variety of financing options available to make the program more economical.

  • Is this Data Analytics Bootcamp provided online?

    Yes, the Caltech Data Analytics Bootcamp is provided in an online format.

  • How do I apply for this Data Analytics Bootcamp?

    You need to submit an application describing a bit about yourself and why you want to join this program. An admission panel will shortlist the candidates, and if selected, you will be notified. Post that, you can begin the program as per the cohort date.

  • What is the market for Data Analytics professionals in the US?

    The market for data analytics professionals in the US is currently very strong. According to Fortune Business Insights, the global big data analytics market was worth USD 240.56 billion in 2021 and is estimated to be worth USD 655.53 billion by 2029. The region to hold the highest market share is North America, with the US showcasing growing demand for analytics tools. Today, organizations across many industries seek qualified professionals who can analyze and interpret large data sets. Data analytics professionals in the US can find lucrative job opportunities in companies like IBM, SAP, Fair Issac, Oracle, and Equifax.

  • How do I pick the Best Data Analytics Bootcamp for me?

    When picking the best data analytics bootcamp, consider factors such as program length, curriculum, teaching style, instructor qualifications, job placement rates, and cost. Look for programs that offer hands-on experience with real-world data sets, as well as opportunities to work on projects and collaborate with other students. That said, this Caltech data analytics Bootcamp fits well considering all the mentioned factors.

  • Is this Data Analytics Bootcamp suitable for freshers?

    Indeed, this Data analytics Bootcamp is beginner-friendly, with no prior experience required.

  • Is this online Data Analytics Bootcamp worth it?

    Yes, this online Data Analytics Bootcamp is worth it for everyone willing to upgrade their skills in the field of analytics. Compared to other training programs, this Bootcamp involves live instructor-led training entirely. The program involves many learning elements that will not only give you theoretical skills but also offers practical exposure. Moreover, a Data Analytics Bootcamp certificate by Caltech CTME will help you grab the attention of potential employers and place you ahead of your peers during the interviews.

  • How to become a data analyst?

    Becoming a data analyst involves a combination of education, skills, and experience. Generally, a bachelor's degree in a field such as mathematics, statistics, computer science, or data science is necessary to enter the profession. However, individuals can also go for a comprehensive data analytics bootcamp like the one offered by Simplilearn in partnership with Caltech. Additionally, proficiency in programming languages such as SQL, Python, or R and knowledge of statistical analysis and data visualization tools are crucial skills for data analysts. Continuous learning and staying updated with the latest industry trends and technologies are also crucial for a successful career in data analysis. To gain experience, aspiring data analysts can seek internships, participate in coding competitions, or contribute to open-source projects. Developing a strong portfolio of projects showcasing your data analysis skills can also be beneficial in landing a job in the field.

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

    The Data Analytics Bootcamp in collaboration with Caltech is a comprehensive course offering lessons on basic concepts of data analytics and core concepts like excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. The course is suitable for professionals from varied backgrounds and therefore no such preparation material is required to get started with the course.

  • Are there any alumni success stories or testimonials from graduates of the best data analytics bootcamps?

    Yes! There are several positive learner testimonials and success stories from Simplilearn’s Data Analyst bootcamp alumni. For detailed information and learner stories, go through the complete Data Analytics Bootcamp Reviews.

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