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⇱ Data Analytics Course with Generative AI | Coursera

Data Analytics Course with Generative AI

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Data Analytics Course with Generative AI

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Gain insight into a topic and learn the fundamentals.
4.7

13 reviews

Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

13 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

Details to know

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Assessments

9 assignments

Taught in English

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 videos•Total 93 minutes
  • Learning Objectives•1 minute
  • Introduction to Data Analytics and Its Types•3 minutes
  • Descriptive Analytics•2 minutes
  • Diagnostic Analytics•2 minutes
  • Predictive Analytics•3 minutes
  • Prescriptive Analytics•4 minutes
  • Roles of GenAI in Data Analytics Process•3 minutes
  • GenAI in ETL Process•4 minutes
  • Demo: Automate the ETL Process Using Julius AI•5 minutes
  • Data Pipelines•4 minutes
  • Real-Time Data Integration and Analysis•3 minutes
  • Benefits of Using Generative AI•3 minutes
  • Data Augmentation and Synthetic Data•2 minutes
  • Demo: Generate Augmented Data Using ChatGPT - 4•6 minutes
  • GenAI in Data Augmentation and Synthetic Data Generation•4 minutes
  • Demo: Synthetic Dataset Creation Using MOSTLY AI•10 minutes
  • Data Integrity•6 minutes
  • GenAI in Exploratory Data Analysis (EDA)•6 minutes
  • Demo: Perform an EDA on a Large Dataset Using Julius AI•12 minutes
  • Demo: Creating Insights Using Tableau Pulse•5 minutes
  • Key Takeaways•2 minutes
1 reading•Total 10 minutes
  • Course Syllabus •10 minutes
5 assignments•Total 100 minutes
  • Quiz on Introduction to Data Analytics and Generative AI•15 minutes
  • Quiz on GenAI in Data Integration and ETL•15 minutes
  • Quiz on Data Augmentation and Synthetic Data•15 minutes
  • Quiz on Exploratory Data Analysis (EDA) and Visualization•15 minutes
  • Assessment for Exploration to Visualization•40 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 videos•Total 99 minutes
  • Learning Objectives•2 minutes
  • GenAI in Data Visualization•5 minutes
  • Date Modeling and its Benefits•5 minutes
  • GenAI for Data Modeling•3 minutes
  • GenAI in Forecasting Models•4 minutes
  • Demo: Predictive Analysis Using Julius AI•20 minutes
  • Demo: Generating Forecasts for Future Trends and Events•14 minutes
  • GenAI for Risk Analysis•3 minutes
  • Demo: Performing Risk Analysis on a Sample Dataset•14 minutes
  • Demo: Simulating Different Scenarios to Assess Risk and Opportunity•9 minutes
  • Challenges in Integrating GenAI in Data Projects•5 minutes
  • Performance Metrics for GenAI in Data Analytics•5 minutes
  • Case Study 1: TechGen•7 minutes
  • GenAI in Data Analytics: Scenarios•3 minutes
  • Key Takeaways•2 minutes
4 assignments•Total 85 minutes
  • Quiz on Data Visualization and Modeling with GenAI•15 minutes
  • Quiz on Forecasting, Prediction, and Risk Analysis•15 minutes
  • Quiz on Challenges, Performance, and Real-World Applications•15 minutes
  • Assessment for ETL Optimization, Generative Modeling, and Future Trends•40 minutes

Instructor

Instructor ratings
5.0 (5 ratings)
Simplilearn
87 Courses•77,899 learners

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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.

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.

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.

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.

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.

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.

Financial aid available,