Udemy - GenAI for Data and Analytics Professionals
About Udemy - GenAI for Data and Analytics Professionals
Overview
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 techn
Frequently Asked Questions
How do I download Udemy - GenAI for Data and Analytics Professionals?
Click the magnet or torrent download button on this page to start downloading Udemy - GenAI for Data and Analytics Professionals. A BitTorrent client is required.
What is the file size of Udemy - GenAI for Data and Analytics Professionals?
The total size of Udemy - GenAI for Data and Analytics Professionals is 2.5 GB.
How many seeders are available for Udemy - GenAI for Data and Analytics Professionals?
Udemy - GenAI for Data and Analytics Professionals currently has 12780 seeders, which affects download speed.
What category is Udemy - GenAI for Data and Analytics Professionals in?
Udemy - GenAI for Data and Analytics Professionals is listed under Other on 1337x.
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.