| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Understanding how GenAI transforms data analytics workflows | |||
| 1 - Course Welcome and Goals (Description).html | 1 KB | ||
| 1 - Course Welcome and Goals.mp4 | 46.4 MB | ||
| 10 - Applying GenAI in Industry Use Cases | |||
| 11 - Implementing Governance Practices Enhanced by GenAI | |||
| 12 - Integrating GenAI into the Modern Analytics Stack | |||
| 2 - Prompting Techniques to Generate SQL Queries and Python Code | |||
| 3 - Tools and Setup for Analyst Workflows | |||
| 1 - Tools and Setup for Analyst Workflows.html | 33.3 KB | ||
| 10 - Demo – Setting Up Gemini in Colab (Description).html | 716.8 B | ||
| 10 - Demo – Setting Up Gemini in Colab.mp4 | 100.5 MB | ||
| 11 - Section Wrap-Up – LLMs as Analyst Thinking Partners (Description).html | 819.2 B | ||
| 11 - Section Wrap-Up – LLMs as Analyst Thinking Partners.mp4 | 51.6 MB | ||
| 12 - A Primer on Generative AI.html | 6 KB | ||
| 13 - Hands on Learning From Business Problem → Prompt → First SQL + Python Insight.html | 5.6 KB | ||
| 13 - Module_1_Hands-on-Lab v2.pdf | 242.9 KB | ||
| 4 - Automate EDA Tasks using GenAI to Accelerate Insight Discovery | |||
| 14 - Section Introduction (Description).html | 716.8 B | ||
| 14 - Section Introduction.mp4 | 46.5 MB | ||
| 15 - How LLMs Support Business and Data Understanding (Description).html | 819.2 B | ||
| 15 - How LLMs Support Business and Data Understanding.mp4 | 57.9 MB | ||
| 16 - Demo – ChatGPT for Exploring Data based on Domain Knowledge (Description).html | 819.2 B | ||
| 16 - Demo – ChatGPT for Exploring Data based on Domain Knowledge.mp4 | 56.3 MB | ||
| 17 - Demo – Gemini structures analytics from EDA and domain knowledge (Description).html | 921.6 B | ||
| 17 - Demo – Gemini structures analytics from EDA and domain knowledge.mp4 | 90.4 MB | ||
| 5 - Extracting Meaningful Patterns and Insights from Data Sets | |||
| 18 - Linking Business Goals to Data and Models (Description).html | 819.2 B | ||
| 18 - Linking Business Goals to Data and Models.mp4 | 56.2 MB | ||
| 19 - Demo – ChatGPT for Prompt Iteration (Description).html | 716.8 B | ||
| 19 - Demo – ChatGPT for Prompt Iteration.mp4 | 39.6 MB | ||
| 20 - Gemini for Generating SQL Queries and Python code (Description).html | 819.2 B | ||
| 20 - Gemini for Generating SQL Queries and Python code.mp4 | 84.4 MB | ||
| 6 - Generating Actionable Narratives from Analytical Findings | |||
| 2 - Generating Actionable Narratives from Analytical Findings.html | 33.7 KB | ||
| 21 - Profiling and Exploring Data with AI (Description).html | 819.2 B | ||
| 21 - Profiling and Exploring Data with AI.mp4 | 72.3 MB | ||
| 22 - Demo – Gemini in Colab for Data Summaries (Description).html | 819.2 B | ||
| 22 - Demo – Gemini in Colab for Data Summaries.mp4 | 76.6 MB | ||
| 23 - Demo – Gemini in Colab for Communicating Narraitives (Description).html | 819.2 B | ||
| 23 - Demo – Gemini in Colab for Communicating Narraitives.mp4 | 102.1 MB | ||
| 24 - Realising the Promises of Artificial Intelligence in Manufacturing by Enhancing.html | 6.3 KB | ||
| 25 - Hands on Learning Staff Utilization vs Margin Analysis.html | 5.6 KB | ||
| 25 - Module_2_Hands-on-Lab v2.pdf | 217.5 KB | ||
| 7 - Modeling with GenAI | |||
| 26 - Section Introduction (Description).html | 716.8 B | ||
| 26 - Section Introduction.mp4 | 26.9 MB | ||
| 27 - Principles of Modeling in Analytics Workflows (Description).html | 819.2 B | ||
| 27 - Principles of Modeling in Analytics Workflows.mp4 | 25.6 MB | ||
| 28 - Demo – Gemini in Colab for Predictive Modeling (Description).html | 819.2 B | ||
| 28 - Demo – Gemini in Colab for Predictive Modeling.mp4 | 85.4 MB | ||
| 29 - Demo – ChatGPT for Model Interpretation (Description).html | 819.2 B | ||
| 29 - Demo – ChatGPT for Model Interpretation.mp4 | 70 MB | ||
| 8 - Evaluating Models and Outputs | |||
| 30 - Accuracy, Explainability, and Trust in GenAI Outputs (Description).html | 819.2 B | ||
| 30 - Accuracy, Explainability, and Trust in GenAI Outputs.mp4 | 25 MB | ||
| 31 - Demo – Gemini for Model Validation (Description).html | 716.8 B | ||
| 31 - Demo – Gemini for Model Validation.mp4 | 67.9 MB | ||
| 32 - Demo – ChatGPT for Critiquing Outputs (Description).html | 819.2 B | ||
| 32 - Demo – ChatGPT for Critiquing Outputs.mp4 | 83.1 MB | ||
| 9 - Generating Actionable Insights | |||
| 3 - Generating Actionable Insights.html | 32.9 KB | ||
| 33 - From Models to Insights – The Analyst’s Role (Description).html | 819.2 B | ||
| 33 - From Models to Insights – The Analyst’s Role.mp4 | 20.9 MB | ||
| 34 - Demo – Google Colab for Automated Reports (Description).html | 819.2 B | ||
| 34 - Demo – Google Colab for Automated Reports.mp4 | 55.6 MB | ||
| 35 - Demo – ChatGPT and Google Colab for Stakeholder Communication (Description).html | 819.2 B | ||
| 35 - Demo – ChatGPT and Google Colab for Stakeholder Communication.mp4 | 134.3 MB | ||
| 36 - The Future of Data Storytelling.html | 6.1 KB | ||
| 37 - Hands on Learning Build, Validate, and Report Model Insights.html | 5.6 KB | ||
| 37 - Module_3_Hands-on-Lab v2.pdf | 211.4 KB | ||
| 9 - LLM Modes – Exploration, Validation, Execution, Communication (Description).html | 819.2 B | ||
| 9 - LLM Modes – Exploration, Validation, Execution, Communication.mp4 | 42.4 MB | ||
| 6 - Why Prompt Design Matters (Description).html | 716.8 B | ||
| 6 - Why Prompt Design Matters.mp4 | 28.7 MB | ||
| 7 - Demo – ChatGPT for Problem Framing (Description).html | 716.8 B | ||
| 7 - Demo – ChatGPT for Problem Framing.mp4 | 72.9 MB | ||
| 8 - Demo – Gemini for code generation (Description).html | 819.2 B | ||
| 8 - Demo – Gemini for code generation.mp4 | 88.1 MB | ||
| 4 - Integrating GenAI into the Modern Analytics Stack.html | 38 KB | ||
| 45 - Embedding GenAI Across CRISP-DM (Description).html | 716.8 B | ||
| 45 - Embedding GenAI Across CRISP-DM.mp4 | 22.5 MB | ||
| 46 - Demo – End-to-End Workflow (Gemini) (Description).html | 819.2 B | ||
| 46 - Demo – End-to-End Workflow (Gemini).mp4 | 66.2 MB | ||
| 47 - Section Wrap-Up Wrap-Up Best Practices for Scaling and Future Readiness (Description).html | 819.2 B | ||
| 47 - Section Wrap-Up Wrap-Up Best Practices for Scaling and Future Readiness.mp4 | 70.6 MB | ||
| 48 - Whitepaper – Perspective on Issues in AI Governance.html | 6.2 KB | ||
| 49 - Hands on Learning Apply GenAI Tools End-to-End Execute, Govern, and Critique.html | 5.6 KB | ||
| 49 - Module_4_Hands-on-Lab v2.pdf | 242.6 KB | ||
| 50 - Course Wrap-Up (Description).html | 716.8 B | ||
| 50 - Course Wrap-Up.mp4 | 31.5 MB | ||
| 51 - Course_End_Project v2.pdf | 283.4 KB | ||
| 51 - Project Driving Successful Data Analytics with Generative AI.html | 5.9 KB | ||
| 42 - GenAI Governance Across CRISP-DM (Description).html | 716.8 B | ||
| 42 - GenAI Governance Across CRISP-DM.mp4 | 20.2 MB | ||
| 43 - Demo – Gemini for Audit and Controls (Description).html | 716.8 B | ||
| 43 - Demo – Gemini for Audit and Controls.mp4 | 47.4 MB | ||
| 44 - Demo – ChatGPT for Auditing Prompts & Outputs (Description).html | 819.2 B | ||
| 44 - Demo – ChatGPT for Auditing Prompts & Outputs.mp4 | 59.7 MB | ||
| 38 - Section Introduction (Description).html | 716.8 B | ||
| 38 - Section Introduction.mp4 | 43.5 MB | ||
| 39 - Real-World Applications of GenAI in Analytics (Description).html | 819.2 B | ||
| 39 - Real-World Applications of GenAI in Analytics.mp4 | 62 MB | ||
| 40 - Demo – Gemini Industry Case Simulation (Description).html | 819.2 B | ||
| 40 - Demo – Gemini Industry Case Simulation.mp4 | 86.4 MB | ||
| 41 - Demo – ChatGPT as an Analyst Advisor (Description).html | 819.2 B | ||
| 41 - Demo – ChatGPT as an Analyst Advisor.mp4 | 113.5 MB | ||
| 2 - Section Introduction (Description).html | 716.8 B | ||
| 2 - Section Introduction.mp4 | 86.1 MB | ||
| 3 - Introduction to GenAI for Analytics (Description).html | 716.8 B | ||
| 3 - Introduction to GenAI for Analytics.mp4 | 28.1 MB | ||
| 4 - Understanding Analytics Workflows (Description).html | 819.2 B | ||
| 4 - Understanding Analytics Workflows.mp4 | 27.8 MB | ||
| 5 - Demo – Introducing the software tools used in the course (Description).html | 819.2 B | ||
| 5 - Demo – Introducing the software tools used in the course.mp4 | 65.1 MB |
GenAI for Data & Analytics Professionals
https://WebToolTip.com
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 29m | Size: 2.48 GB
Harnessing advanced capabilities to enhance the flow of value from data to insights, decisions, and business impact.
What you'll learn
Differentiate the building blocks of AI, GenAI, and Data Analytics, and describe how LLMs support the CRISP-DM and Value Chain frameworks.
Apply prompt engineering techniques to frame business problems for data analytics by using tools like ChatGPT, Gemini in Colab, for solutions.
Create and Communicate actionable insights to generate narratives, reports, and visualizations for analytical findings and their business impact to stakeholders
Evaluate data, models, and GenAI outputs for accuracy and clarity, to critique, validate, and refine insights across CRISP-DM Phases and Value Chains.
Requirements
Basic understanding of data analytics concepts, such as datasets, charts, reports, and data visualization. Familiarity with Microsoft Excel and an interest in solving business problems using data. Prior Python experience is helpful but not required. Access to a computer with an internet connection and free accounts for ChatGPT and Google Colab (Gemini-enabled) to complete the hands-on exercises.
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