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Mar 13, 2025Program Duration
22 weeksLearning Format
Live, Online, InteractiveProgram certificate and up to 13 Continuing Education Units (CEUs) from Caltech CTME
Access CTME Circle membership on LinkedIn after the program completion
Dedicated course on generative AI, prompt engineering, and more
Convert raw data into actionable insights using various tools and technologies
22 weeks of applied learning with 15+ hands-on projects and access to integrated labs
Application-based practical training from leading industry experts
Strengthen your resume and get career guidance from industry specialists
Attend mock interview sessions to help you ace the hard technical questions
Enroll your employees into this program, NOW!
Toll Free : +1-844-532-7688
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.
Hiring CompaniesThis generative AI and data analytics program offers a curriculum that helps you to learn concepts from fundamentals to advanced. This will equip you with the skills to grow your career in the data analytics domain.
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.
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.
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Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
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.
A data analytics course gives students the skills and knowledge to turn raw data into actionable business insights. Caltech CTME, in collaboration with Simplilearn, offers a unique data analytics training program emphasizing GenAI. It consists of an introduction to data analytics, live instructor-led virtual classes, hands-on projects using the top data analysis tools, and a capstone project that applies the skills learned in the program to real-world scenarios.
GenAI specialists with data analysis skills apply generative AI to enhance and streamline data visualization, modeling, forecasting, and risk analysis processes. A GenAI-certified data analyst understands the ethical implications of using GenAI in data analytics and creates strategies to safeguard data and meet compliance requirements. If you are a junior data analyst, enrolling in data analytics courses and earning a certificate will help you jumpstart your career in this field.
Data analysts are in high demand across all industries worldwide, so getting high-quality training will help you gain the skills employers are seeking. With the rapid rise of GenAI, knowing how to apply this innovative technology to data analysis will give you a broader and more modern skill set to stand out to potential employers. Plus, you’ll benefit from expert-led training from Caltech CTME instructors, real-world experience using the top tools in labs, and more.
Our highly qualified instructors are industry experts with relevant industry experience. Each has undergone a rigorous selection process that includes profile screening, technical evaluation, and a training demo before being certified to train for our data analyst certificate program.
To enroll in this GenAI and data analytics program, follow these steps:
Submit the program application form
Include a brief statement of purpose along with the application to let the admission counselors know why you are interested in the course
We will process the application and reply within 1-3 working days
Once selected, you will receive an admission letter, which you can accept by paying the program fee
Salaries will vary based on experience, skill level, location, and company. US-based data analysts can earn a potential average annual compensation package of $109K. This includes a base salary and additional compensation (cash bonuses, commissions, stock options, etc.) Completing this generative AI data analytics course does not guarantee that you will get a job or the salary quoted above.
Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools. The contributions of Caltech's faculty and alumni have earned national and international recognition, including 45 Nobel Prizes and 71 National Medals of Science.
Caltech CTME has chosen to team with Simplilearn to co-deliver these online professional programs. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact.