Data Analytics Bootcamp
With Live Online Classes on Generative AI
Get ahead in the data revolution with the Data Analytics Bootcamp in collaboration with Caltech. Tailored for working professionals, this bootcamp employs a hands-on learning approach with practical industry projects and integrated labs.
- Admission closes on 23 Jul, 2024
- Program Duration 6 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Data Analytics Bootcamp Overview
The Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core in demand data 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
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.
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.
Electives:
- 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
Program Advisors
Rick Hefner
Caltech CTME, Executive DirectorDr. 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
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
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.
$132.9 bnThe global data analytics market by 2026
25%Expected Growth in Data Analytics Jobs by 2030
$109 KAnnual Median Salary for Data Analyst
Companies hiring Data Analysts
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 industriesIndustryInformation Technology - 32%BFSI - 19%Software Product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%Companies
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
Admission
Selected candidates can begin the program within 1-2 weeks
Eligibility Criteria
For admission to this Data Analytics Bootcamp, candidates should have:
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
Online Data Analytics Bootcamp FAQs
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.
Read More: Your Career Guide to Data Analytics in 2024
What are the benefits of enrolling into a 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
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
How do I enroll in the 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
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.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.