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.
Data Analytics Course with Generative AI
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
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
- Data Integration
- Data-Driven Decision-Making
- Predictive Modeling
- Data Storytelling
- Data Visualization
- Interactive Data Visualization
- Generative AI
- Prompt Engineering
- Predictive Analytics
- Business Analytics
- ChatGPT
- Advanced Analytics
- Extract, Transform, Load
- Forecasting
- Exploratory Data Analysis
- Real Time Data
- Data Analysis
- Data Transformation
- Analytics
- Descriptive Analytics
Details to know
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Recently updated!
June 2025
Assessments
9 assignments
Taught in English
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There are 2 modules in this course
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
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
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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.
More questions
Financial aid available,