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A working data analyst shares how to transition from spreadsheets to Python. Learn which libraries matter, how to clean data, and practical automation tips.
Continue reading →Bridging Spatial Analytics and Generative AI: My Review of the FLUX Architectural Course
A data analyst reviews the FLUX AI Visualization course. Discover how generative AI, ComfyUI, and spatial analytics merge, plus honest hardware requirements.
Continue reading →Building a Text-to-SQL Data App: My Practical Experience
A data analyst's practical guide to building an end-to-end Text-to-SQL application using LangChain, GPT-4, and Python. Learn the real-world pros and cons.
Continue reading →Automating Financial Analysis: My Honest Experience Using Claude AI
A data analyst's honest review of using Claude AI for financial modeling, SQL optimization, and Python integration. Learn what works and what fails.
Continue reading →My Data Cleaning Experience: Escaping the Memory Limit Trap
A data analyst's honest experience switching to modern DataFrame libraries. Learn how lazy execution and optimized queries solve massive memory bottlenecks.
Continue reading →AI-Assisted Data Analysis Workflow: My Honest Experience and Practical Guide
A 5-year data analyst's honest review of using AI for data analytics. Learn how to optimize your workflow, automate cleaning, and avoid common AI pitfalls.
Continue reading →Learning R for Data Science: My Honest Review After Completing the A-Z Curriculum
A data analyst's honest review of learning R for data science. Discover practical tips on transitioning from spreadsheets to programming with real-world examples.
Continue reading →ETL Testing and Data Warehouse Fundamentals: A Data Analyst's Honest Review
A data analyst's honest review of ETL testing fundamentals. Learn practical SQL unit testing, dimensional modeling, and how to catch bad data early.
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