Conversational CSV Analysis using Kimi 2.7 Code with Python and Ollama
Start turning your CSVs into an actual conversation.
This course includes.
Curriculum & lectures.
+ 01 Foundations of Conversational Data Analysis 3 lectures
+ 02 Inside Kimi K2.7 Code 5 lectures
+ 03 Ollama as the Local Runtime 3 lectures
+ 04 Python as the Orchestration Layer 5 lectures
+ 05 Designing the CSV Analysis Agent 3 lectures
+ 06 Safety, Sandboxing, and Reliability 3 lectures
+ 07 Conversation Memory and Multi-Turn Analysis 1 lecture
+ 08 Visualization and Communicating Results 3 lectures
+ 09 Evaluating and Comparing the Stack 5 lectures
+ 10 Practical Considerations and What's Next 3 lectures
About this course.
Asking your data questions in plain language works differently than typing another SQL query or building a dashboard.
This video course builds that conversational loop using Kimi K2.7 Code, Ollama, and Python, from the reasoning behind the stack to a working analysis agent.
► Understand why this stack beats dashboards, fixed scripts, and SQL bots.
► Explore Kimi K2.7 Code's architecture, context window, and agentic coding behavior.
► Design system prompts, code-generation, and tool-calling patterns for analyzing CSVs conversationally.
► Cover safety, sandboxing, multi-turn memory, visualization, and how the stack compares to alternatives.
It's as much about knowing the tradeoffs as it is about getting the model to answer.
✅ Lifetime access to all modules.
⚠️ Requires an Ollama Cloud sign-in or API key.
Taught by people who ship.
James Dabalus
James is a versatile IT Technician specializing in Prompt Engineering, Generative AI, Graphic Design, Web Development, Video Editing, and E-learning. With a passion for automation, he continually seeks innovative ways to streamline digital workflows.
Ready to start building?
Start turning your CSVs into an actual conversation.