• Program Duration24 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Mar 8th, 2024

Data Analytics Bootcamp Highlights

Begin your tech odyssey with Caltech CTME's Data Analytics Bootcamp. Gain expertise in core skills and tools such as Excel, SQL, ETL, Python, Tableau, Power BI, Generative AI, and more.

  • Caltech CTME’s Excellence

    Bootcamp certificate and up to 13 CEU credits from Caltech CTME

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

  • Gain Generative AI Mastery

    Dedicated course on generative AI, prompt engineering, and more

    Practical exposure to ChatGPT, DALL-E, Midjourney, and other prominent tools

  • Experiential Learning in a Cohort-based Program

    6 months of applied learning: 20+ hands-on projects with integrated labs

    Application-based practical training from leading industry experts

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Days
Hours
Minutes
Seconds

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Career Opportunites After Data Analytics Bootcamp

    • Data Analyst

      A data analyst interprets complex data sets, identifies trends, and provides valuable insights to aid in business decision-making. Proficient in analytics tools and methods, they transform raw data into understandable formats, enabling organizations to optimize strategies and performance.

      Average Salaries
      $ 60K - $ 120K
      Hiring Companies
      Amazon
      Oracle
      Microsoft
      Cisco
    • Business Analyst
    • Business Intelligence Analyst

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Program Outcomes

Caltech Bootcamp CertificateCaltech Bootcamp Certificate
  • Data Analytics course completion certificate from Caltech CTME
  • Online convocation with the Caltech CTME Executive Director
  • Program transcript for the entire learning path
  • Earn membership to the Caltech CTME Circle network

Data Analytics Bootcamp Curriculum

  • Recognize the essentiality of business analytics. Utilize Excel's functions and formatting. Analyze data via pivot tables. Craft compelling dashboards. Employ Excel for analytics. Excel in statistical data analysis. Acquire crucial Power BI skills.

  • Comprehend database structures and relationships. Excel in SQL commands and query tools. Perfect transactions, table creation, and view management. Perform intricate operations using stored procedures. Attain proficiency in SQL basics: filtering, joins, subqueries. Delve into SQL functions: strings, math, date/time, pattern matching. Administer user access control for database security.

  • Excel in ETL basics for data analysis. Incrementally extract structured/unstructured data. Establish transformation rules. Employ ETL tools like Nifi, Talend, etc. Populate repositories with data. Differentiate between batch and real-time ETL. Introduce real-time processing. Enhance efficiency with parallel processing. Schedule and monitor ETL workflows.

  • Acquire Tableau visualization skills. Prioritize data organization for meaningful visuals. Explore combo charts, stories, filters, parameters, and sets. Excel in crafting interactive dashboards. Adopt a practical approach to informed decision-making.

  • Excel in procedural and object-oriented Python. Set up and maneuver Jupyter. Grasp data types, loops, scope, OOP principles, methods, attributes, and threading. Comprehend Python's advantages and applications.

  • Excel in API-based data acquisition. Utilize SQL and Python for database management. Grasp statistical basics and probability distributions. Understand advanced statistical analysis. Perform statistical analysis with Python, including hypothesis testing, correlation, regression, time series analysis, ANOVA, and 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.

Skills Covered

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

Tools Covered

MySQLFSD
python
Microsoft Excel
ScikitLearn
NumPy
pandas
tableau
R
PowerBI
ChatGPT
Dalle.2

Data Analytics Bootcamp Program Advisor

Data Analytics Bootcamp Fee

Program Fee $ 8,500

Pay in Installments

As low as

You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

Eligibilty Criteria

  • Candidates are not required to have prior work experience
  • At least 18 years and have a High School Diploma or equivale
  • Prior coding experience or technology know-how is optional

Best Suited For

  • Freshers
  • IT Professionals
  • Data Science Professionals
  • Product Managers
  • Consultants

How to Apply For Data Analytics Bootcamp

  • STEP 1Submit Application

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

  • STEP 2Application Review

    An admission panel will shortlist candidates based on their application

  • STEP 3Admission

    Selected candidates can begin the program within 1-2 weeks

Apply Now

Demand for Data Analytics Bootcamp in 2024

Data Analytics professionals are the crucial bridge between raw data and key business insights. As businesses continue to realize the importance of data-driven decision-making, the demand for online data analytics courses and data analyst bootcamps has seen a significant rise. Our Data Analytics Bootcamp, in particular, has been designed to meet this rising industry demand. This comprehensive program goes beyond theoretical knowledge, offering practical exposure and equipping you with the necessary skills to excel in this growing field.


The demand for data analytics courses stems from the need for professionals who can analyze, understand, and derive insights from the massive amounts of data being generated daily. Take advantage of this trend and invest in your career growth with our data analyst bootcamp online. This could be your gateway to exciting career opportunities in data analytics, a field that is not just lucrative but also future-proof.
 

Data Analytics Bootcamp FAQs

  • What is a data analytics bootcamp?

  • What are some of the skills required to become a data analytics professional?

  • What is the salary of a data analyst in the US?

  • How to choose the right data analytics bootcamp for you?

  • Are data analytics bootcamps suitable for beginners?

  • What skills do you learn in a data analytics bootcamp?

  • Are data analytics bootcamps worth it?

  • Will a data analytics bootcamp help me get a job in tech?

  • How much do data analytics bootcamps cost?

  • Which is the best data analytics bootcamp?

  • What are the Job Outcomes in Pasadena, after completing Caltech Data Analytics Bootcamp?

  • How is the Market for Data Analysts in California and the US?

  • How to Apply for Caltech Data Analytics Boot Camp?

  • Do I need to be a Caltech student to apply to the Data Analytics Bootcamp?

  • Do I need to have experience with data analytics or programming before applying?

  • What do I get upon completion of the data analytics bootcamp training?

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