• Learning Format Self-Paced Learning

World’s #1 Online Bootcamp

Why Join this Program

Bootcamp Academic Excellence

Earn a Data Analytics Bootcamp certificate from the acclaimed Caltech CTME

Caltech Campus Visit

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

Highly Interactive Learning

Master the concepts of Data Analytics through instructor-led live sessions

Hands-on Experience

Multiple hands-on projects across industry verticals with integrated labs

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Analytics Bootcamp Overview

The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

Data Analytics Bootcamp Advantage

The Data Analytics Bootcamp brings together centuries of combined academic excellence and thought leadership. Understand Data Analytics in-depth to accelerate your career with this bootcamp.

  • Bootcamp Certificate

    Partnering with Caltech CTME

    • Certificate of completion from Caltech CTME
    • Caltech CTME Circle Membership
    • Earn up to 20 CEUs to showcase your achievements

Data Analytics Bootcamp Details

This comprehensive Caltech Data Analytics Bootcamp curriculum covers the concepts of analytics using Excel, data analytics using Python, interacting with databases using SQL, data visualization with Tableau, and data analytics on AWS.

Learning Path

  • CB DA: Excel

    • Learn about functions

    • Gain Proficiency in pivot tables

    • Learn complex formulas in Excel and utilize them in different applications

  • CB DA: Presentations

    • Gain skills for data-driven storytelling with presentations

    • Learn techniques to summarize presentations with visualizations

    • Utilize advanced chart designs to bring about visually explained presentations

  • CB DA: SQL

    • This course will establish your mastery of SQL 

    • Learn all the essential functionalities of SQL to become an expert in data analytics. 

    • Learn how to write queries and statements using the SQL language.

    • Design, learn, and apply SQL for database definition and manipulation

    • Understand SQL queries and SQL statements

  • CB DA: Python

    • Python applications. Learning it will help you grow in your career. 

    • Learn the fundamentals of Python programming to perform data-related activities like data manipulation and data analysis.

    • Learn basic Python skills so you can manipulate and analyze data

    • Gain proficiency in Python fundamentals and Python syntax

  • CB DA: Data Visualization with Tableau

    • This Tableau course helps you understand how to build visualizations, organize data, and design charts and dashboards to empower more meaningful business decisions. 

    • You’ll be exposed to the concepts of Data Visualization, different combo charts and stories, working with filters, parameters, and sets, and building interactive dashboards.

    • Build interactive dashboards using Tableau to bring about effective data visualizations.

    • Utilize Analytical storyboards to drive more data-driven decisions

  • CB DA: Data Analytics on AWS
    • Understand how to use Amazon EMR for processing the data using
    • Hadoop ecosystem tools
    • Understand how to use Amazon Kinesis for Big Data processing in
    • real-time and analyze and transform Big Data using Kinesis Streams
    • Visualize data and perform queries using Amazon QuickSight.
  • CB DA: Final Project

    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.

Contact Us

+65 3158 5082

Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analytics using Python
  • Data Visualization with Tableau
  • Linear and Logistic Regression
  • Data Manipulation
  • Data Analysis in AWS

Tools Covered

Microsoft ExcelSQLpythontableauAWS

Industry Projects

  • Project 1

    Create a Project Proposal

    Create a concise, well-structured project proposal with clear objectives, target audience, research topic, project design, analysis plan, data collection, and intended outcome.

  • Project 2

    Create and Format a New Workbook

    Create a PowerPoint with visuals from Python, Tableau, and Excel. Present business objectives, evidence-backed main ideas, findings, decision-making implications & strategies.

  • Project 3

    Marketing plan for Superstore

    Analyze Sample Superstore data to develop a marketing plan for a superstore chain. Use functions, pivot tables, and charts to identify performance trends.

  • Project 4

    Customer Analysis with SQL

    Demonstrate SQL knowledge by creating queries, joining tables, using aggregate functions, creating tables, and manipulating data.

  • Project 5

    Automation of grading system with Python

    Utilize this Python assessment for hands-on coding exercises in a Jupyter notebook to test Python skills with variables, lists, loops, functions, and visualizations.

  • Project 6

    Creating Tableau visualizations for Airlines

    Apply Tableau skills by completing prompts and multiple-choice questions. Create views, charts, and a data dashboard using Tableau Public.

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, Program Director

    Dr. Rick Hefner serves as the Program 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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Join the Data Analytics industry

The data science and analytics jobs are predicted to increase 28% by 2020, according to an IBM report. The global analytics market is expected to grow by $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)

Job Icon11.5 M

Expected New Jobs for Data Science And Analytics

Source: US bureau of Labor
Job Icon28%

Annual Job Growth By 2026

Source: Dice 2020 report
Job Icon$46K-$100K

Average Annual Salary

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.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software Product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
    Amazon
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Vodafone
    Broadcom
    Accenture
    Nomura Holdings
    Ericsson
    Infosys
    Nvidia
    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.

STEP 1

Submit Application

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

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 Data Analytics Bootcamp, candidates should have:

Are not required to have prior work experience
Be at least 18 years+ and have a High School Diploma or equivalent
No prior coding experience or technology know-how required

Apply Now

Program Benefits

  • Complete this Data Analytics bootcamp while you work
  • Rigorous curriculum designed by industry experts
  • Caltech CTME Circle Membership
  • Access to integrated practical labs
  • Active recruiters include: Amazon, Google, Microsoft

Related Programs

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