This hands-on course teaches data professionals how modern AI — especially large language models (LLMs) like ChatGPT and Google Gemini — integrates into analytics workflows. You’ll start with the AI landscape and history, move into how generative AI and transformers work, and learn practical access and usage for ChatGPT/Gemini. The core of the course focuses on safe, productive use: identifying common pitfalls (hallucinations, context gaps, black-box issues), verifying AI outputs, and applying LLMs to real analyst tasks (code/formula generation, query optimization, visualization guidance, data cleaning, and sample-data generation). The final section teaches prompt engineering (clarity & specificity, role assignment, tone & audience, iterative refinement) with concrete examples in Excel, SQL, Python, and BI tools so you can get reliable, high-value results from AI today.
ChatGPT became the fastest-growing product in history, reaching 1 million users in just five days. Explore how this unprecedented AI adoption is transforming industries and accelerating the global AI revolution.
Discover the evolution of artificial intelligence—from early neural networks and AI winters to deep learning, transformers, and ChatGPT. Learn how 60+ years of breakthroughs led to GPT-4 and modern generative AI.
Understand generative AI and large language models, including how ChatGPT works. Learn how transformers, self-attention, and probability-based learning enable AI to generate human-like text and creative content at scale
Generative AI is changing how we use technology, enabling machines to produce original content, like text and images, based on user prompts. Large language models (LLMs) like ChatGPT create text that mimics human writing by examining large amounts of data. How do they operate? Learn about the processes that lead to their clear responses, the importance of transformers and self-attention, and what makes today’s LLMs effective. Explore the future of generative AI and machine learning!
Explore the world of artificial intelligence, where machines imitate human thought and perform tasks like decision-making and language understanding. Machine learning drives AI, enabling systems to improve using large data sets. Discover deep learning, modeled after the human brain, and the key difference between weak AI and strong AI. As data availability increases, these technologies are expected to gain power. Join us in understanding the complexities of AI and its impact on the future.
AI in Analytics is already transforming the analytics workflow in practical, high-impact ways: at the top of the list are
