Generative AI for Data Analysts
Are you ready to take your data analysis skills to the next level? Discover how to harness the power of generative AI tools like ChatGPT, Gemini and Copilot to become a better data analyst
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Module 1: Introduction to Generative AI for Data Analysts
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Lesson 1: Why AI is essential for data analysts.
Introduce your lesson with an optional, short summary. You can edit this excerpt in lesson settings.
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Lesson 2: AI Tools Overview
AI Tools Overview: ChatGPT, Gemini, Copilot, Claude, Llama, Microsoft Power Automate, Codex.
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Lesson 3: Types of AI tools
Desktop and app versions of AI tools.
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Module 2: Best Practices and Ethics in AI
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Module 3: AI Tools to be aware of
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Module 3: AI for Coding and Scripting Assistance
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Module 4: Supercharging Excel and Google Sheets
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Module 5: Automation with AI
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Module 6: AI for Data Sourcing
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Module 7: AI for Data Cleaning & Preprocessing
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Module 8: AI for Quick Data Analysis
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Module 9: AI for Hypothesis Testing
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Module 10: AI for Data Visualization and Reporting
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Module 11: Advanced AI Applications
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Module 12: AI for Market Research & Competitive Analysis
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Module 13: AI for Personalized Learning
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Module 14: AI for Enhancing Commentary and Presentations
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Module 15: Resources & staying connected
Meet your instructor
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Meet your instructor ✳
AGNES BUNGSY
17 years of experience in data analytics across leading companies like Yahoo, Google, and Trainline, TikTok, Siemens, RSA and others
Specialising in making complex data simple, she's renowned for her no-nonsense approach to marketing analytics, web analytics, and reporting
Author of the book A Practical Guide to Marketing Analytics.
Regular speaker at UK industry events
Agnes champions high-impact insights without the need for expensive tools or advanced statistics. Her hands-on expertise and direct teaching style will empower you to harness AI's power for your data analysis, starting from day one.
Course FAQ
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This course is designed for data analysts at any level who want to learn how to integrate AI into their day to day job. The course is also great for data driven managers, marketers and entrepreneurs as it showcases how AI tools can make even more advanced data analysis accessible to anyone, even with little or no technical knowledge. Some basic knowledge of coding (e.g., SQL, R, or Python) is helpful but not required.
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No, the course is designed for both beginners and experienced analysts and data enthusiasts. There are sections that introduce Python and R for those without prior experience.
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You’ll explore tools like ChatGPT, Gemini, Copilot, Claude, Llama, Microsoft Power Automate, Codex, and more. We try to keep the course content up to date so if any new and interesting tools come up, we will make sure to cover them. Feel free to follow us on YouTube to make sure you do not miss any new content
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Most tools taught in this course are cloud-based, so no additional software installations are required. We’ll also cover tools like Google Colab for Python and RStudio for R (also cloud based).
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The course is designed to be completed in around 4-6 hours, but you can work at your own pace.
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Yes, we dedicate an entire module to responsible AI usage, ethics, and privacy considerations.
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Yes, you will have access to a downloadable prompts library and additional resources such as discount codes for future purchases. Feel free to also follow us on YouTube for latest content, as well as join our Facebook community group in order to share and exchange ideas.
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Yes, all course materials can be accessed via desktop, tablet, or mobile devices.
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You can reach out via email (agnes@analyticshacker.com) or the course's community group on Facebook.cWe encourage you to also subscribe to our YouTube Channel for latest content.