Generative Ai In Data Analytics From Data To Decisions

Generative Ai In Data Analytics: From Data To Decisions
Published 8/2026
Created by Shwetha S P
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 51 Lectures ( 3h 54m ) | Size: 1.6 GB
Master Ai-Powered Data Analytics Using ᑕᕼᗩTGᑭT, Claude, Julius AI, Tableau Pulse, and Real-World Projects
What you'll learn
Apply Generative AI across the complete data analytics lifecycle, from data preparation to business decision-making
Automate data preparation, ETL, and exploratory data analysis using leading AI-powered tools
Generate synthetic data and improve data quality for analysis using AI techniques
Analyze datasets, uncover trends, and create visualizations using natural language prompts
Create forecasts, business reports, and actionable insights with Generative AI
Use industry-leading AI tools such as ᑕᕼᗩTGᑭT, Claude, Julius AI, and Tableau Pulse to solve real-world analytics problems
Requirements
No prior experience with AI or programming is required. Basic knowledge of spreadsheets and data concepts is helpful but not mandatory.
A computer with internet access and a free account for AI tools such as ᑕᕼᗩTGᑭT, Claude, and Julius AI.
Microsoft Excel or Google Sheets for working with sample datasets.
Description
This course contains the use of artificial intelligence.
Are you ready to transform the way you analyze data using Generative AI?
Generative AI is revolutionizing data analytics by enabling professionals to prepare data, automate repetitive tasks, analyze large datasets, generate insights, create visualizations, build forecasts, and produce business reports using simple natural language prompts.
This course is designed to help you integrate Generative AI across theentire data analytics lifecycle through practical demonstrations, real-world datasets, and industry-leading AI tools.
Whether you're a beginner exploring AI-powered analytics or a professional looking to improve productivity, this course will give you the practical skills needed to work smarter and make better data-driven decisions.
Why Learn Generative AI for Data Analytics?
Organizations are rapidly adopting Generative AI to
Automate repetitive data analytics tasks
Prepare and transform data more efficiently
Analyze large datasets using natural language
Generate synthetic datasets for testing and development
Discover trends, patterns, and business insights
Build forecasts and perform risk analysis
Create professional reports and executive summaries
Accelerate data-driven decision-making
Professionals who can combine data analytics with Generative AI are becoming increasingly valuable across industries.
What Makes This Course Different?
This course focuses onpractical learning rather than theory alone.
You'll learn through
Step-by-step demonstrations
Real-world datasets
Practical business scenarios
Beginner-friendly explanations
Natural language prompts
Hands-on AI tools
Industry best practices
Every concept is demonstrated using AI so you can immediately apply what you learn.
What You'll Learn
Module 1: Foundations of Generative AI in Data Analytics
Learn how Generative AI simplifies the early stages of the analytics process.
You'll learn
Data analytics fundamentals and the analytics lifecycle
AI-powered ETL, data pipelines, and real-time data integration
Data augmentation, synthetic data generation, and data integrity
Exploratory data analysis (EDA) and AI-assisted insight generation
Hands-On Demonstrations
Automate the ETL Process Using Julius AI
Generate Augmented Data Using ᑕᕼᗩTGᑭT
Create Synthetic Datasets Using AI
Perform Exploratory Data Analysis Using Julius AI
Generate AI-Powered Insights Using Tableau Pulse
Module 2: Advanced Generative AI in Data Analytics
Explore how Generative AI supports advanced analytics and data-driven decision-making.
You'll learn
AI-powered data visualization and data modeling
Predictive analytics, forecasting, and trend analysis
Risk analysis, scenario simulation, and performance evaluation
Real-world case studies, business scenarios, and implementation challenges
Hands-On Demonstrations
Perform Predictive Analysis Using Julius AI
Generate Forecasts for Future Trends
Perform Risk Analysis on Sample Datasets
Simulate Business Scenarios to Assess Risk and Opportunity
Generate Business Insights and Reports Using Claude
Create Executive Business Reports Using Claude
Course End Projects
Apply your learning through practical end-to-end analytics projects using Generative AI tools.
You will work on real-world datasets, apply AI-powered analytics workflows, generate insights, build reports, and solve business problems using Generative AI.
These projects will help you develop practical skills and create portfolio-ready work that demonstrates your ability to apply Generative AI in data analytics.
AI-Powered Roleplay Activities
Practice real-world analytics situations through interactive AI-powered roleplay activities.
You will learn how to collaborate with AI assistants, analyze business requirements, interpret data insights, communicate findings, and make data-driven recommendations.
These activities will help you improve your analytical thinking, problem-solving skills, and ability to use Generative AI effectively in professional analytics environments.
AI Tools Covered
Throughout this course, you'll gain practical experience using industry-leading AI tools, including
ᑕᕼᗩTGᑭT
Claude
Julius AI
Tableau Pulse
Course Updates
Generative AI is evolving rapidly, and this course is designed to evolve with it. New lectures, hands-on demonstrations, AI tools, real-world examples, and best practices will be added regularly to keep the content current and relevant. By enrolling, you'll continue to benefit from ongoing updates as new features and technologies emerge.
Why Enroll?
Instead of spending hours preparing data, exploring datasets, creating reports, or building forecasts manually, you'll learn how to use Generative AI to automate these tasks and focus on interpreting results and making informed business decisions.
With practical demonstrations, real-world datasets, and hands-on experience using today's leading AI tools, you'll gain skills that can be applied immediately in your analytics projects and professional work.
Enroll today and discover how Generative AI can transform the way you prepare, analyze, visualize, and interpret data.
Who this course is for
Beginners interested in using Generative AI for data analytics
Data analysts looking to enhance their analytics workflow with Generative AI
Business analysts who want to automate data analysis using AI tools
BI professionals seeking to improve reporting and insight generation with AI
Students and professionals exploring AI-powered data analytics
Anyone interested in applying Generative AI to real-world data analytics without extensive coding
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