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  • Next Cohort starts 29 Mar, 2023
  • Program Duration 6 months
  • Learning Format Online Bootcamp

Why Join this Program

Caltech's Academic Excellence

Caltech's Academic Excellence

Earn a Data Science Bootcamp certificate and up to 14 CEU credits from Caltech CTME

IBM's Industry Expertise

IBM's Industry Expertise

Obtain industry-recognized IBM certificates for IBM courses and masterclasses by IBM

Campus Immersion

Campus Immersion

Experience an exclusive visit to Caltech’s Robotics Lab

Hands-on Experience

Hands-on Experience

25+ hands-on projects across industry verticals with integrated labs

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Science Bootcamp Berkeley Overview

The Caltech Data Science Bootcamp brings out the superiority of Caltech's academic eminence. The program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

Key Features

  • Exclusive visit to Caltech’s Robotics Lab
  • Masterclasses delivered by distinguished Caltech instructors and IBM experts
  • Caltech CTME Circle Membership
  • Earn up to 14 CEUs from Caltech CTME
  • Earn a Data Science Bootcamp certificate from Caltech CTME
  • Online convocation by Caltech CTME Program Director
  • Access to hackathons and Ask Me Anything sessions from IBM
  • 25+ hands-on projects across industry verticals with integrated labs
  • Simplilearn Career Service helps you get noticed by top hiring companies

Data Science Bootcamp Berkeley Advantage

This Data Science Bootcamp leverages Caltech’s academic excellence and IBM’s industry prowess. Caltech’s CAST is a facility where machines and researchers work together and learn from one another.

  • Data Science Certificate

    Partnering with Caltech CTME

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

    Bootcamp in Collaboration with IBM

    • Industry-certified IBM certificates for IBM courses
    • Industry masterclasses delivered by IBM
    • Hackathons from IBM

Data Science Bootcamp Berkeley Details

This Caltech Data Science Bootcamp familiarizes learners with the essentials of statistics and Python programming, followed by a deep dive into topics like Machine Learning, Deep Learning, and Data Visualization tools like Tableau and Power BI.

Learning Path

  • Learn to make data-driven decisions with this Data Science Bootcamp, built and delivered in partnership with Caltech CTME and IBM. Designed for working professionals, the program features masterclasses by Caltech faculty & IBM experts, with exclusive hackathons and Ask Me Anything sessions by IBM.

  • This Data Science Bootcamp starts with Statistics Essentials for Data Science that will enable you to define statistics—a foundational part of data science—and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, and distribution. You will be able to make data-driven predictions through statistical inference.

  • Discover R programming with this Data Science Bootcamp. Learn how to write R code, utilize R data structures, and create your own functions.

  • Kickstart your learning by getting an understanding of the Python language and its libraries, and writing scripts using the Jupyter-based lab environment with this Python for Data Science.

  • Applied Data Science with Python provides a complete overview of Python's Data Analytics tools and techniques. In this Data Science Bootcamp, you’ll learn Python, which is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlocking your career as a Data Scientist.

  • This Data Science Bootcamp will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms.

  • This Data Science Bootcamp covers Tableau training which will help you gain a variety of skills in the powerful platform including building visualizations, organizing data, and designing dashboards.

  • At the end of the Data Science Bootcamp, culminate your new Data Science skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone

Electives:
  • Master practical data-driven decision-making skills with the help of data analysis and statistics. In this Data Science Bootcamp, learn how to use the most common MS office tools available - Excel to make sophisticated data analytics to arrive at business decisions.

  • Master SQL and improve your skills with SQL Course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market.

  • Power BI will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. You will explore how to experiment, fix, prepare, and present data quickly and easily.

  • This Data Science Bootcamp covers the module of Deep Learning developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms.

  • Caltech CTME Data Science Bootcamp Masterclass

  • Caltech Data Science Bootcamp Office Hours

  • Caltech Bootcamp Data Science Project Hours

Skills Covered

  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Fine Tuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Deep Learning
  • Data Visualization

Tools Covered

tableauMySQLFSDtensorflowNumPypandasMatPlotlibPowerBIpythonRScikitLearnMindmappingSciPy

Industry Projects

  • Project 1

    Mobility as a Service

    A transportation company wants to improve the accuracy of its fare prediction model. Help the firm choose the best data and AI technologies to build its next-generation model.

  • Project 2

    Automobile Manufacturing

    An automobile company wants to reduce the time it spends on the test bench. Build and optimize the ML algorithm to achieve this.

  • Project 3

    Ecommerce

    An ecommerce company offers product recommendations based on customer activity and the buying habits of other shoppers. Help improve the recommendation engine.

  • Project 4

    Retail

    Predict accurate sales for a retail store chain considering the impact of promotional markdown events. Check the impact of macroeconomic factors like CPI and the unemployment rate.

  • Project 5

    Telecommunications

    A telecommunications company wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, and are seeking recommendations.

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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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

Batch Profile

Data Science 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
    Industry
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Health Care - 8%BFSI - 8%Others - 15%
    Companies
    Data Science course learners from PricewaterhouseCoopers, Berkeley
    Data Science course learners from Citigroup, Berkeley
    Data Science course learners from Tata Consultancy Services, Berkeley
    Data Science course learners from Abbott, Berkeley
    Data Science course learners from Bosch, Berkeley
    Data Science course learners from GE Aviation, Berkeley
    Data Science course learners from Accenture, Berkeley
    Data Science course learners from Ernst & Young, Berkeley
    Data Science course learners from VMware, Berkeley
    Data Science course learners from Nvidia, Berkeley
    Data Science course learners from Amazon, Berkeley
    Data Science course learners from Dell, Berkeley

Learner Reviews

Admission Details

Application Process

The Data Science Bootcamp application process consists of 3 steps. An admission offer will be made to the selected candidates & accepted by the candidates paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself & why you want to do Data Science Bootcamp

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Qualified candidates can accept the offer by paying the Bootcamp fee

Eligibility Criteria

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

At least 18 years and have a High School Diploma or equivalent.
Prior knowledge or experience in programming and mathematics
Preferably 2+ years of formal work experience

Admission Fee & Financing

The admission fee for this Data Science Bootcamp is $ 8,000

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, Affirm or ClimbCredit payment option with low APR and no hidden fees.

AffirmClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 8,000

Apply Now

Program Benefits

  • Complete this Data Science Bootcamp while you work
  • Rigorous curriculum designed by industry experts
  • Caltech CTME Circle Membership
  • Receive up to 14 CEUs from Caltech CTME
  • Active recruiters include: Amazon, Google, Microsoft.

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      29 Mar, 2023

      09:00 CDT

    • Regular Classes

      1 Apr, 2023 - 30 Nov, 2023

      09:00 - 13:00 CDT

      Weekend (Sat - Sun)

Other Cohorts

    • Date

      Time

      Batch Type

    • Program Induction

      29 Mar, 2023

      09:00 CDT

    • Regular Classes

      15 May, 2023 - 6 Sep, 2023

      20:00 - 23:00 CDT

      Weekday (Tue - Fri)

    • Date

      Time

      Batch Type

    • Program Induction

      29 Mar, 2023

      09:00 CDT

    • Regular Classes

      3 Jun, 2023 - 19 Nov, 2023

      09:00 - 13:00 CDT

      Weekend (Sat - Sun)

    • Date

      Time

      Batch Type

    • Program Induction

      10 May, 2023

      10:00 CDT

    • Regular Classes

      5 Nov, 2022 - 30 Apr, 2023

      09:00 - 13:00 CDT

      Weekend (Sat - Sun)

    • Date

      Time

      Batch Type

    • Program Induction

      10 May, 2023

      10:00 CDT

    • Regular Classes

      7 Jan, 2023 - 3 Jun, 2023

      09:00 - 13:00 CST

      Weekend (Sat - Sun)

    • Date

      Time

      Batch Type

    • Program Induction

      10 May, 2023

      10:00 CDT

    • Regular Classes

      18 Feb, 2023 - 29 Jul, 2023

      09:00 - 13:00 CST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Data Science Bootcamp Berkeley FAQs

  • What are the eligibility criteria for this Data Science Bootcamp in collaboration with Caltech CTME?

    For admission to this Caltech Data Science Boot camp, candidates should have:

    • At least 18 years and have a High School Diploma or equivalent.
    • Prior knowledge or experience in programming and mathematics
    • Preferably 2+ years of formal work experience

  • Who is the Data Science Bootcamp 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
       

  • Can I get a sealed transcript for World Education Services (WES) at the end of the bootcamp?

    Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.

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