AI Powered Data Analytics Mastery – AI Tools & Vibe Coding
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Introduction to the Course
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Data Analytics Overview
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Generative AI BasicsIntroduction to Generative AI BasicsLearning GoalLet’s get started0sWhat is Gen AI?0sGen AI in Layman’s Term0sGen AI Tools0sBasics of NLP0sNLP Applications0sTokenization0sStop Words0sBag of Words0sPoS Tagging0sn Grams0sEvolution of LLMs0sLLM Basics Concepts0sPrompt Engineering Basics0sDemo of xAI’s Grok0s
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Advanced Prompt EngineeringLearning GoalKey Principles of Prompt Engineering0sCommon Pitfalls & How to Avoid them0sZero Shot Prompting0sFew Shot Prompting0sChain of Thoughts0sInstruction Prompting0sRole Based Prompting0sEthical Prompting0s———CASE STUDY 1 (Chat GPT)———Download & Install Microsoft SQL Server0sImporting Data to Microsoft SQL Server0sColumn Definitions0sImporting Data into Excel sheet from SQL Server using Chat GPT0sData Types & Data Profiling Using instructions from Chat GPT0sData Transformation Using Chat GPT0sDeciding KPIs, Charts and Slicers using Chat GPT0sFormatting the Bar Chart Using Instructions from Chat GPT0sCreating & Formatting the Column Chart0sAverage Benefit Score by Company Size0sAdding a Pie Chart0sAdding & Formatting the Line Chart0sCreating the Dashboard using Chat GPT0s———CASE STUDY 2 (GROK)———Installing MYSQL Server & MYSQL Workbench0sImporting the Data to MYSQL Workbench0sImporting Data to SQL Server0sImporting Data into Excel from MYSQL DB & SQL Server0sAppending the Data from two sources using GROK0sColumn Definitions0sRecommended KPIs & Charts by GROK0sData Profiling using GROK0sData Transformation using GROK0sCreating & Formatting the Bar Chart0sCreating & Formatting the Pie Chart0sAverage Impact on Grades by Tool0sCleaning the data and adding a clustered bar chart0sAdding & Formatting the Radar Chart0sCreating the Dashboard0s———CASE STUDY 3 (Perplexity)———Using Perplexity to Analyze Data0sClient Interview Scenario0s
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MS SQL and AI IntegrationLearning GoalDownloading & Installing SQL Server0sLearning SQL Basics with Perplexity0sCorrecting SQL Code using Perplexity0sSQL Code Modification from MYSQL DB to SQL Server DB0sGenerating Generic Queries to analyze smartphones data0sWriting Queries to solve specific problems0sResolving Specific Data Cleaning Issue0sSQL Scenario Question0sUnderstanding Window functions with Perplexity0sUnderstanding SQL Joins with Perplexity0sUnderstanding the Date Functions for MYSQL DB & SQL Server0sUnderstanding the text Functions0sNumber Functions0sCreating Stored Procedure using Perplexity0sAnswering Question Using SQL Queries & Perplexity0sSQL Scenario Question to Append Tables0s
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Exploratory Data Analysis (EDA) with AILearning GoalInstalling Python with Anaconda0sBasic Python Programs using Perplexity0sUnderstanding DataFrame & Series using perplexity0sUnderstanding Joins with perplexity0sAppend & remove duplicates0sData Understanding with Perplexity0sAnswering Data Related Questions using Perplexity0sData Profiling Using Perplexity0sData Cleaning Using Perplexity0sData Visualization Using Perplexity0sMini Python Insurance Data Analysis Project with Perplexity0sMini Python Project Banking Data Analysis with Perplexity0sRectifying Incorrect Python Script0s
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AI for Data Visualization with Power BILearning GoalDownload & Install Power BI Desktop0sCreating Free Power BI Account0s—–Power BI Project 1 with Perplexity——Importing Diamonds Data to SQL Server0sColumn Definition & KPI Suggestion using Perplexity0sImporting Data From SQL Server to Power BI Desktop0sData Preparation Using Perplexity0sAdding the Card Visual to represent Average Carat0sAdding Column Chart to show Cut Grades by Color0sAdding the Card Visual to Show Average Depth Percentage0sCreating & Formatting the Scatter Plot0sInsights & Recommendations Using Perplexity0sAdding Card Visual to represent Average Price0sCreating & Formatting the Heat Map0sAdding & Formatting the Bar Chart to show Average Price by Clarity0sAdding & Formatting the Histogram0sAdding & Formatting the Table Visual0sPublishing the Report to Power BI Service0s—-Power BI Project 2 Using Perplexity—–Creating Banking Dataset Using Perplexity0sRemoving Inconsistencies from Date Column using SQL & Perplexity0sCombining Data From Three Tables Using SQL Joins0sImporting Data into Power BI Desktop0sKPI, Chart and DAX recommendation using Perplexity0sData Cleaning0sCleaning Other Date Columns0sNumber of Transactions by Type0sTransaction Amount By Month0sTop 2 Customers by Transaction Amount0sTotal Balance by Account Type0sInactive Accounts by Year & Month0sCustomer Count by Gender0sNumber of Customers by Age Group0sAdding & Formatting the Tree Map0sAdding Remaining Charts0sPublishing the Report to Power BI Service0s
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Learning DAX (Data Analysis Expressions with AI Tools)
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Microsoft Fabric and AI IntegrationLearning GoalBasics of Microsoft Fabric0sCreating Organization Account0sCreating Workspace in Fabric0sGetting Started with Lakehouse0sLakehouse Architecture0sLakehouse Practicals0sSQL DB Integration0sFabric Dataflows Integration0sIntroduction to KQL (Kusto Query Language)0sMore about KQL (Kusto Query Language)0sKQL Practicals #10sKQL Practicals #20sKQL Practicals #30sKQL Practicals #40sKQL Practicals #50sKQL Integration with Microsoft Power BI0s
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Copilot Integration with Power BI
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No Code Data Analysis with AI ToolsIntroduction0sOverview of Julius.ai0sData Cleaning on Julius.ai0sOverview of Eraser.io0sIntroduction to n8n.io0sn8n Templates0sn8n Tool Demo0sProject Overview – Student Engagement Dashboard (using n8n)0sWorkflow Overview – Student Engagement Dashboard (using n8n)0sEnd to End – Student Engagement Dashboard (using n8n)0s
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Interview Prep with AI ToolsLearning GoalSQL Interview Questions Set 10sSQL Interview Questions Set 20sSQL Interview Questions Set 30sSQL Interview Questions Set 40sSQL Interview Questions Set 50sPython Interview Prep Set 10sPython Interview Prep Set 20sPython Interview Prep Set 30sPython Interview Prep Set 40sPython Interview Prep Set 50s
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Predictive Analytics with Generative AILearning GoalIntroduction to Predictive Analytics0sPredictive Analytics Process0sHow model works?0sWhy Predictive Analytics?0sApplications of Predictive Analytics0sWhat is Machine Learning0sTypes of Machine Learning0sClassification0sK-Nearest Neighbors0sK-Nearest Neighbors – Example0sBefore we proceed to the PracticalsClassification – Practicals (Coding)0sK-Nearest Neighbors – Practicals (Coding)0sK-Nearest Neighbors – Practicals (Vibe Coding)0sDecision Trees0sDecision Trees – Practicals (Coding)0sDecision Trees – Practicals (Vibe Coding)0sRandom Forest0sRandom Forest – Practicals (Coding)0sRandom Forest – Practicals (Vibe Coding)0sEnsemble Techniques – Boosting0sEnsemble Techniques – Boosting Practicals (Coding)0sEnsemble Techniques – Boosting Practicals (Vibe Coding)0sRegression – Theory0sRegression – Practicals (Coding)0sRegression – Practicals (Vibe Coding)0sClustering Algorithms (Non Predictive Analytics) – Theory0sClustering Algorithms (Non Predictive Analytics) – Practicals (Coding)0sClustering Algorithms (Non Predictive Analytics) – Practicals (Vibe Coding)Time Series Analysis – Theory0sTime Series Analysis – Practicals (Coding)0sTime Series Analysis – Practicals (Vibe Coding)0s
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Data Analysis & Data Visualization with Microsoft Copilot
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!
What's included
- Role Play
- 31 hours on-demand video
- 22 articles
- 40 downloadable resources
- Access on mobile and TV
- Certificate of completion