• Admission closes on
    Nov 26th, 2024
  • Program Duration

    22 weeks

  • Learning FormatLive, Online, Interactive

Data Analytics Program Highlights

  • Caltech CTME’s Excellence

    Program certificate and up to 13 Continuing Education Units (CEUs) from Caltech CTME

    Gain CTME Circle membership on LinkedIn after the program completion

  • Learn GenAI Applications in Data Analytics

    Dedicated course on generative AI, prompt engineering, and more

    Learn applications of generative AI in data analytics

  • Experiential Learning in a Cohort-based Program

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

    Application-based practical training from leading industry experts

  • Simplilearn Career Services

    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

GET PROGRAME DETAILS

    • 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
      Microsoft
      Cisco
      Oracle
    • Business Analyst
    • Business Intelligence Analyst

FOR ENTERPRISE

Looking to enroll your employees into this program?

Program Outcomes

Program CertificateProgram Certificate
  • Solve complex problems using data analytics tools and techniques
  • Develop proficiency in data visualization tools
  • Learn Python to solve data analytics problems
  • Understand the application of Generative AI in data analytics

Program Curriculum

  • Get started with the Data Analytics program in collaboration with Caltech. Kickstart your journey with this induction session, and learn what this carefully curated program offers.

  • Utilize Excel's functions and formatting. Analyze data via pivot tables, craft compelling dashboards, employ Excel for analytics, excel in statistical data analysis, and acquire crucial Power BI skills.

  • Gain a thorough understanding of database structures and relationships, along with proficiency in SQL commands and query tools. Learn essential concepts like transactions, table creation, and view management, and execute complex operations using stored procedures.

  • Learn ETL fundamentals, including the ability to extract both structured and unstructured data incrementally, create transformation rules, and load data into repositories using tools like Nifi and Talend. Distinguish between batch and real-time ETL processes, implement real-time processing, and optimize ETL workflows through parallel processing. Master ETL fundamentals in data analysis.

  • Analyze data to extract valuable business insights using Power BI, create interactive dashboards that support effective decision-making, and enhance operational efficiency. Develop dashboards from published reports, utilizing Power BI’s Quick Insights feature to rapidly discover data patterns. Adopt practical approaches within Power BI to maximize the tool's potential in delivering actionable insights for business success.

  • Learn Python by exploring both procedural and object-oriented programming. Learn through hands-on experience with Jupyter installations. Dive into essential concepts such as data types, loops, OOP principles, methods, attributes, threading, and discover the wide range of Python’s benefits and applications.

  • Adapt the skills to collect, process, analyze, and visualize data using Python's libraries to derive insights efficiently​. Analyze various statistical methods to understand their applications​ and compare different types of statistics to analyze their differences​. Apply data optimization techniques to enhance data quality and integrity​ and create data visualizations using Pivot Tables to analyze data effectively.

  • Explore generative AI models, focusing on ChatGPT. Acquire knowledge of generative AI principles, prompt engineering, conversational AI, ChatGPT, and language models.

  • Understand the applications of generative AI in data visualization, data modeling, forecasting, and risk analysis. Get to know the challenges and ethical implications of using generative AI in data analytics to ensure the safe usage of the data.

  • Combine your newly acquired Data Analytics skills with hands-on, industry-relevant projects that bring together all course elements into a portfolio-worthy capstone.

ELECTIVES
  • Acquire a thorough understanding of creating impactful visualizations, organizing data efficiently, and designing informative charts and dashboards. Learn the skills needed to build interactive dashboards that incorporate filters, parameters, and sets, and apply various visualization techniques to enhance data presentation.

  • Grasp the core relevance of data ethics in analytics, including a thorough understanding of GDPR and CCPA within legal frameworks. Explore key concepts such as data privacy, informed consent, and the importance of data security and access prevention. Learn to make ethical decisions in real-world scenarios and apply ethical principles in data visualization. Grasp the core relevance of data ethics in analytics.

Skills Covered

  • Data Analytics
  • Data Ethics
  • Data Storytelling
  • Data Visualization
  • ETL
  • Generative AI
  • Prompt Engineering
  • Python
  • SQL
  • Statistical Analysis

Tools Covered

Microsoft Excel
SQL
python
power bi
ChatGPT
NumPy
pandas
tableau

An Immersive Learning Experience

Peer to Peer engagement

with learners and mentors for a real class experience using slack.

Flexi Learn

Missed a class? Recording available to cover your progress

One on one Mentoring session

personalized guidance, support, and insights to accelerate professional growth

Dedicated cohort Manager

To help you succeed throughout your learning journey

Peer to Peer engagement
with learners and mentors for a real class experience using slack.
Flexi Learn
One on one Mentoring session
Dedicated cohort Manager

Data Analytics Program Advisor

Total Program Fee

Program Fee $ 4,000

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.

Program Cohorts

Next Cohort

Eligibilty Criteria

  • Candidates are not required to have prior work experience
  • Should be at least 18 years and have a high school diploma
  • Prior coding experience or technology know-how is optional

Best Suited For

  • Freshers
  • Software Engineers
  • IT Professionals
  • Data Professionals
  • Business Analysts
  • Product Managers

How to Apply

  • STEP 1Submit Application

    Tell us a bit about yourself and why you want to do this program

  • STEP 2Reserve Your Seat

    An admission panel will shortlist candidates based on their application

  • STEP 3Start Learning

    Selected candidates can begin the program within 1-2 weeks

Demand for Data Analytics Courses in 2024

In the past decade, data analytics has rapidly transformed various industries, driven by a surge in digital data and technological advancements, leading to significant expansion in the global market. According to Grand View Research, the global data analytics market size was valued at USD 49.03 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 26.7% from 2023 to 2030. This growth is fueled by the demand for skilled data professionals, their ability to derive insights from big data, and the increasing adoption of cloud-based analytics solutions.

The US Bureau of Labor Statistics reports that the employment of data scientists is projected to increase by 36% from 2021 to 2031, of statisticians by 31%, and of market research analysts by 19%. These growth rates exceed the 5% average for all occupations, making data analysis and related fields some of the fastest-growing careers today.

Data Analytics Program FAQs

  • What is a data analytics course?

  • What does a generative AI professional with data analytics knowledge do?

  • What are the benefits of enrolling in an online data analytics and generative AI course?

  • How good are the trainers for Caltech CTME’s data analytics program?

  • How do I enroll in the generative AI data analytics certificate program?

  • What will be the expected salary post completing a gen AI for data analytics certificate program?

  • What will be the career path after completing the data analytics course online?

  • Do I need to be a Caltech student to apply for data analytics and generative AI course?

  • Can I keep working while completing this generative AI for data analytics course online?

  • I am not able to access the online data analytics program. Who can help me?

  • What is covered under the 24/7 Support promise?

  • What do I need to become a data analyst?

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

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