Who is eligible for generative AI course?

Anyone with basic knowledge of AI, programming, or data can take a generative AI course. It’s ideal for developers, analysts, marketers, and business professionals looking to upskill.

What is the highest paying job in AI?

AI research scientists, machine learning engineers, and AI architects are among the highest-paying roles, often earning six-figure salaries due to their advanced technical expertise and strategic value.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Analytics Course with Generative AI

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Data Analytics Course with Generative AI

Instructor: Priyanka Mehta

4,756 already enrolled

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Automate ETL workflows and generate synthetic data using GenAI tools
Perform exploratory data analysis and visualize insights with AI platforms
Build predictive models and conduct risk analysis through simulations
Apply GenAI across real-world analytics projects for strategic impact

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

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There are 2 modules in this course

This comprehensive Generative AI in Data Analytics course equips you with the skills to optimize data workflows, automate analysis, and generate actionable insights using AI. Begin by mastering the four types of analytics, descriptive, diagnostic, predictive, and prescriptive, and explore how GenAI enhances each stage. Learn to automate ETL processes, generate synthetic data with tools like ChatGPT-4 and MOSTLY AI, and perform EDA using Julius AI and Tableau Pulse. Progress to building predictive models, forecasting trends, and conducting risk analysis through real-world simulations. Understand performance metrics, address integration challenges, and apply GenAI in practical business scenarios.

You should have a basic understanding of data analysis, statistics, and familiarity with tools like Excel, SQL, or BI platforms. By the end of this course, you will be able to: - Automate Data: Streamline ETL and generate synthetic data using GenAI - Analyze Insights: Perform EDA and visualize data with AI-powered tools - Predict Outcomes: Build models and simulate risk for better decisions - Apply GenAI: Use GenAI across real-world analytics with measurable impact Ideal for analysts, data professionals, and business leaders advancing data strategy with AI.

Explore how Generative AI is transforming the data analytics process from integration to visualization. Learn the types of analytics such as descriptive, diagnostic, predictive, and prescriptive, and GenAI's role in each stage. Automate ETL processes, enhance data quality, and generate synthetic datasets using tools like ChatGPT-4 and MOSTLY AI. Perform EDA and create insights with tools like Julius AI and Tableau Pulse.

What's included

21 videos1 reading5 assignments

21 videosTotal 93 minutes

Learning Objectives1 minute
Introduction to Data Analytics and Its Types3 minutes
Descriptive Analytics2 minutes
Diagnostic Analytics2 minutes
Predictive Analytics3 minutes
Prescriptive Analytics4 minutes
Roles of GenAI in Data Analytics Process3 minutes
GenAI in ETL Process4 minutes
Demo: Automate the ETL Process Using Julius AI5 minutes
Data Pipelines4 minutes
Real-Time Data Integration and Analysis3 minutes
Benefits of Using Generative AI3 minutes
Data Augmentation and Synthetic Data2 minutes
Demo: Generate Augmented Data Using ChatGPT - 46 minutes
GenAI in Data Augmentation and Synthetic Data Generation4 minutes
Demo: Synthetic Dataset Creation Using MOSTLY AI10 minutes
Data Integrity6 minutes
GenAI in Exploratory Data Analysis (EDA)6 minutes
Demo: Perform an EDA on a Large Dataset Using Julius AI12 minutes
Demo: Creating Insights Using Tableau Pulse5 minutes
Key Takeaways2 minutes

1 readingTotal 10 minutes

Course Syllabus 10 minutes

5 assignmentsTotal 100 minutes

Assessment for Exploration to Visualization40 minutes
Quiz on Introduction to Data Analytics and Generative AI15 minutes
Quiz on GenAI in Data Integration and ETL15 minutes
Quiz on Data Augmentation and Synthetic Data15 minutes
Quiz on Exploratory Data Analysis (EDA) and Visualization15 minutes

Advance your data analytics skills with GenAI-powered visualization, modeling, and forecasting techniques. Learn to optimize ETL, build predictive models, and assess risk using tools like Julius AI. Explore GenAI’s role in data modeling and scenario simulation. Understand integration challenges, performance metrics, and real-world applications through case studies and practical demos.

What's included

15 videos4 assignments

15 videosTotal 99 minutes

Learning Objectives2 minutes
GenAI in Data Visualization5 minutes
Date Modeling and its Benefits5 minutes
GenAI for Data Modeling3 minutes
GenAI in Forecasting Models4 minutes
Demo: Predictive Analysis Using Julius AI20 minutes
Demo: Generating Forecasts for Future Trends and Events14 minutes
GenAI for Risk Analysis3 minutes
Demo: Performing Risk Analysis on a Sample Dataset14 minutes
Demo: Simulating Different Scenarios to Assess Risk and Opportunity9 minutes
Challenges in Integrating GenAI in Data Projects5 minutes
Performance Metrics for GenAI in Data Analytics5 minutes
Case Study 1: TechGen7 minutes
GenAI in Data Analytics: Scenarios3 minutes
Key Takeaways2 minutes

4 assignmentsTotal 85 minutes

Assessment for ETL Optimization, Generative Modeling, and Future Trends40 minutes
Quiz on Data Visualization and Modeling with GenAI15 minutes
Quiz on Forecasting, Prediction, and Risk Analysis15 minutes
Quiz on Challenges, Performance, and Real-World Applications15 minutes

Instructor

Instructor ratings

(5 ratings)

Priyanka Mehta

Simplilearn

86 Courses62,163 learners

Offered by

Simplilearn

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Frequently asked questions

Yes, Generative AI can assist with data analysis by automating ETL processes, generating synthetic data, performing exploratory analysis, and creating visual insights.

The best certification combines hands-on projects, real-world tools like ChatGPT and LangChain, and covers prompt engineering, data analysis, and AI applications—offered by platforms like Simplilearn, Coursera, or edX.

ChatGPT can help with data analysis tasks such as summarizing datasets, generating SQL queries, cleaning data, and offering insights, especially when integrated with tools like Python, Excel, or Julius AI.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.