Name: AI Powered Data Analytics Mastery - AI Tools & Vibe Coding
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Created byKRISHAI Technologies Private Limited, InsighBI Private Limited, Dr. Satyajit Pattnaik

Last updated 1/2026

English

What you'll learn

Core Data Analytics: Master the data analysis process, storytelling, and business applications using tools like Excel and SQL.
Generative AI Skills: Leverage ChatGPT, Claude, Perplexity, and Grok for data processing and advanced prompt engineering.
SQL & Database Management: Write and optimize SQL queries, use joins, window functions, and integrate AI for data cleaning.
Python & Vibe Coding: Analyze data with Python, using Anaconda, and apply vibe coding for practical data manipulation.
Data Visualization: Create impactful dashboards and charts in Power BI, guided by AI-driven KPI and chart recommendations.
Predictive Analytics & No-Code: Build machine learning models (e.g., K-Nearest Neighbors, Random Forests) and automate workflows with n8n.

Course content

16 sections • 237 lectures • 31h 50m total length

Introduction1:41
Course Resources0:35
Your Insights Matter: Shaping Our Analytics Journey0:34

Learning Goal0:18
Introduction to Generative AI Basics1:58
Let's get started5:38
What is Gen AI?15:12
Gen AI in Layman's Term13:58
Demystify generative AI in layman's terms by showing how prompts drive responses from front-end tools like ChatGPT, using large language models trained on trillions of data.
Gen AI Tools16:32
Basics of NLP6:17
NLP Applications5:47
Tokenization13:00
Stop Words3:11
Bag of Words13:00
PoS Tagging1:57
n Grams4:16
Evolution of LLMs13:56
LLM Basics Concepts7:52
Prompt Engineering Basics21:09
Demo of xAI's Grok19:38
Gen AI Quiz

Learning Goal0:17
Key Principles of Prompt Engineering5:51
Common Pitfalls & How to Avoid them2:44
Zero Shot Prompting6:10
Few Shot Prompting6:56
Chain of Thoughts7:30
Instruction Prompting3:24
Role Based Prompting5:01
Explore role-based prompting to tailor ai outputs by assigning roles, calculate average monthly sales growth for product categories in Q2 2025, and extract leadership-ready insights.
Ethical Prompting5:45
Promote ethical prompting to prevent misinformation, harm, and bias by writing fair, unbiased prompts; disclose ai use, respect privacy, and ensure outputs contribute positively to education and well-being.
---------CASE STUDY 1 (Chat GPT)---------0:16
Download & Install Microsoft SQL Server10:38
Importing Data to Microsoft SQL Server2:56
Column Definitions4:41
Importing Data into Excel sheet from SQL Server using Chat GPT7:34
Data Types & Data Profiling Using instructions from Chat GPT9:53
Data Transformation Using Chat GPT7:13
Deciding KPIs, Charts and Slicers using Chat GPT2:48
Formatting the Bar Chart Using Instructions from Chat GPT5:46
Creating & Formatting the Column Chart3:07
Average Benefit Score by Company Size3:36
Adding a Pie Chart4:03
Adding & Formatting the Line Chart3:40
Creating the Dashboard using Chat GPT11:01
---------CASE STUDY 2 (GROK)---------0:17
Installing MYSQL Server & MYSQL Workbench8:45
Importing the Data to MYSQL Workbench2:49
Importing Data to SQL Server2:48
Importing Data into Excel from MYSQL DB & SQL Server5:42
Appending the Data from two sources using GROK7:43
Column Definitions5:18
Recommended KPIs & Charts by GROK3:58
Data Profiling using GROK6:32
Data Transformation using GROK7:23
Creating & Formatting the Bar Chart3:03
Creating & Formatting the Pie Chart2:44
Average Impact on Grades by Tool2:40
Cleaning the data and adding a clustered bar chart6:31
Adding & Formatting the Radar Chart2:34
Creating the Dashboard5:15
---------CASE STUDY 3 (Perplexity)---------0:10
Using Perplexity to Analyze Data8:37
Explore data analysis using perplexity to generate insights, define columns, identify data cleaning issues, and propose KPIs and dashboard charts for a medical insurance dataset.
Client Interview Scenario7:57
Advanced Prompt Engineering Quiz

Learning Goal0:18
Downloading & Installing SQL Server10:38
Learning SQL Basics with Perplexity12:05
Correcting SQL Code using Perplexity5:11
SQL Code Modification from MYSQL DB to SQL Server DB10:02
Generating Generic Queries to analyze smartphones data12:56
Writing Queries to solve specific problems9:32
Resolving Specific Data Cleaning Issue4:31
SQL Scenario Question16:48
Understanding Window functions with Perplexity10:57
Understanding SQL Joins with Perplexity11:03
Understanding the Date Functions for MYSQL DB & SQL Server6:23
Understanding the text Functions6:39
Number Functions4:14
Creating Stored Procedure using Perplexity13:32
Answering Question Using SQL Queries & Perplexity12:29
SQL Scenario Question to Append Tables13:04
MS SQL Quiz

Learning Goal0:24
Installing Python with Anaconda14:21
Basic Python Programs using Perplexity10:45
Understanding DataFrame & Series using perplexity5:38
Understanding Joins with perplexity8:13
Append & remove duplicates9:46
Data Understanding with Perplexity8:27
Answering Data Related Questions using Perplexity7:51
Data Profiling Using Perplexity16:03
Data Cleaning Using Perplexity17:08
Data Visualization Using Perplexity7:31
Mini Python Insurance Data Analysis Project with Perplexity12:34
Mini Python Project Banking Data Analysis with Perplexity9:55
Rectifying Incorrect Python Script5:41
EDA Quiz

Learning Goal0:21
Download & Install Power BI Desktop5:19
Creating Free Microsoft 365 Account7:55
Creating Free Power BI Account4:44
-----Power BI Project 1 with Perplexity------0:16
Importing Diamonds Data to SQL Server3:47
Column Definition & KPI Suggestion using Perplexity6:18
Importing Data From SQL Server to Power BI Desktop4:53
Data Preparation Using Perplexity7:58
Adding the Card Visual to represent Average Carat4:28
Adding Column Chart to show Cut Grades by Color5:22
Adding the Card Visual to Show Average Depth Percentage1:57
Creating & Formatting the Scatter Plot3:52
Insights & Recommendations Using Perplexity4:00
Adding Card Visual to represent Average Price2:42
Creating & Formatting the Heat Map7:17
Adding & Formatting the Bar Chart to show Average Price by Clarity3:43
Adding & Formatting the Histogram7:07
Adding & Formatting the Table Visual4:48
Publishing the Report to Power BI Service3:10
----Power BI Project 2 Using Perplexity-----0:17
Creating Banking Dataset Using Perplexity13:57
Removing Inconsistencies from Date Column using SQL & Perplexity9:29
Combining Data From Three Tables Using SQL Joins6:40
Importing Data into Power BI Desktop4:44
KPI, Chart and DAX recommendation using Perplexity7:18
Data Cleaning11:49
Cleaning Other Date Columns3:32
Number of Transactions by Type6:59
Transaction Amount By Month5:21
Top 2 Customers by Transaction Amount9:24
Total Balance by Account Type4:17
Inactive Accounts by Year & Month4:00
Customer Count by Gender4:11
Number of Customers by Age Group4:12
Adding & Formatting the Tree Map3:21
Adding Remaining Charts5:25
Publishing the Report to Power BI Service2:40
Power BI Quiz

Learning Goal0:20
Basics of Microsoft Fabric13:04
Creating Organization Account5:36
Creating Workspace in Fabric7:39
Getting Started with Lakehouse20:45
Lakehouse Architecture6:23
Lakehouse Practicals15:23
SQL DB Integration15:14
Fabric Dataflows Integration19:34
Introduction to KQL (Kusto Query Language)11:26
More about KQL (Kusto Query Language)9:17
KQL Practicals #121:38
Master practical KQL basics, translating sql with explain. Craft select, where, top, order by, and between timestamp queries using is null and is not null.
KQL Practicals #210:28
KQL Practicals #32:29
KQL Practicals #43:32
Explore KQL join operations, including inner, left, right, and outer joins, by linking authentication events and employees on username, and build practical select queries with user agent projections.
KQL Practicals #514:34
KQL Integration with Microsoft Power BI9:44
Microsoft Fabric Quiz

Learning Goal0:16
Enable Copilot on Fabric - Part 118:34
Enable Copilot on Fabric - Part 26:47
Use Cases of Copilot with Power BI6:35
Feature 16:09
Feature 28:26
Feature 35:34
Feature 43:51
Feature 55:08
Feature 62:50
Explore how narrative visuals on a product analysis page summarize data with copilot, revealing total sales by product and unit price by product, powered by GPT.
Feature 77:13
AI Automated Report with Copilot (Project)29:23
Quiz

Requirements

Basic computer literacy and familiarity with spreadsheets (e.g., Excel).
No AI experience required—suitable for beginners.
Basic Python and SQL knowledge is needed
A willingness to learn and experiment with AI tools and data platforms.

Description

Embark on a transformative journey into data analytics with this comprehensive Udemy course, designed to empower beginners and seasoned professionals alike. "AI-Powered Data Analytics Mastery" combines cutting-edge Generative AI tools, vibe coding, and industry-standard platforms to equip you with the skills to analyze, visualize, and interpret data effectively. Learn to harness AI tools like ChatGPT, Claude, Perplexity, Grok, and n8n, alongside SQL, Python, Power BI, and Microsoft Fabric, through hands-on projects and real-world case studies. From data cleaning to predictive analytics, this course covers it all, ensuring you can create impactful dashboards and derive actionable insights.

What You’ll Learn

Data Analytics Fundamentals: Understand the data analysis process, storytelling, and its critical role in business decision-making.
Generative AI Integration: Master AI tools like ChatGPT, Claude, Perplexity, and Grok for data processing, prompt engineering, and automation.
Vibe Coding & Programming: Dive into Python, SQL, and vibe coding for practical data manipulation and analysis.
Data Visualization: Create stunning dashboards and charts using Power BI, guided by AI-driven insights.
Predictive Analytics: Explore machine learning techniques like K-Nearest Neighbors, Decision Trees, and Random Forests.
No-Code Solutions: Leverage n8n and other no-code platforms for efficient data workflows and automation.
Advanced Techniques: Learn advanced prompt engineering, SQL joins, window functions, and DAX for robust analytics.

Course Highlights

Hands-On Projects: Build real-world projects, including inventory management and student engagement dashboards, using AI tools and Power BI.
Case Studies: Apply AI tools like Grok, ChatGPT, and Perplexity to practical scenarios, such as data transformation and KPI selection.
Comprehensive Toolset: Gain proficiency in SQL Server, MySQL, Python (via Anaconda), Power BI, and Microsoft Fabric.
Interview Preparation: Tackle SQL and Python interview questions with confidence, supported by AI-driven insights.
No-Code Innovation: Explore no-code data analysis with n8n, Julius, and Eraser for streamlined workflows.

Who This Course Is For

Aspiring data analysts seeking to break into the field with AI-enhanced skills.
Professionals looking to integrate Generative AI into their data analytics workflows.
Business analysts aiming to create compelling visualizations and dashboards.
Developers interested in vibe coding and no-code solutions for data analysis.
Anyone passionate about leveraging AI for predictive analytics and data-driven decisions.

Why Enroll?

This course bridges traditional data analytics with the power of Generative AI, offering a unique blend of technical skills and innovative tools. With over 200 lectures, quizzes, and practical projects, you’ll gain hands-on experience and the confidence to tackle complex data challenges. Whether you’re cleaning datasets with Perplexity, building dashboards with Power BI, or automating workflows with n8n, this course prepares you to excel in the evolving world of AI-driven data analytics.

Prerequisites

Basic computer literacy and familiarity with spreadsheets (e.g., Excel).
No prior coding or AI experience required—suitable for beginners!
A willingness to learn and experiment with AI tools and data platforms.

Join now to master data analytics with the power of AI and vibe coding, and take your career to the next level!

Who this course is for:

Aspiring data analysts eager to break into the field with AI-enhanced skills.
Professionals seeking to integrate Generative AI tools like ChatGPT, Claude, Perplexity, and Grok into data analytics workflows.
Business analysts aiming to create compelling visualizations and dashboards using Power BI.
Developers interested in vibe coding and no-code solutions like n8n for efficient data analysis.
Anyone passionate about mastering predictive analytics and AI-driven data insights.

What you'll learn

Explore related topics

Course content

Introduction to the Course3 lectures • 3min

Data Analytics Overview7 lectures • 53min

Generative AI Basics17 lectures • 2hr 44min

Advanced Prompt Engineering42 lectures • 3hr 32min

MS SQL and AI Integration17 lectures • 2hr 40min

Exploratory Data Analysis (EDA) with AI14 lectures • 2hr 14min

AI for Data Visualization with Power BI38 lectures • 3hr 18min

Learning DAX (Data Analysis Expressions with AI Tools)10 lectures • 2hr 28min

Microsoft Fabric and Integration with Power BI17 lectures • 3hr 7min

Copilot Integration with Power BI12 lectures • 1hr 41min

Requirements

Description

Who this course is for: