Chatting With Your Database: My Honest Take on No-Code SQL Automation
A data analyst's honest review of using natural language to SQL (NL2SQL) tools. Learn how to automate ad-hoc reporting and build a semantic layer safely.
Continue reading →AI-Powered Data Analysis in Excel: My Journey Beyond Basic Formulas
Learn how to integrate OpenAI API, Python, and GPT into Excel for advanced data analytics. Michael Park shares tips on automation and data cleaning.
Continue reading →Talking to Your Data: My Honest Take on Generative AI for Analytics
Data analyst Michael Park reviews PandasAI for Generative AI projects. Learn how Natural Language Query changes Python data visualization and EDA.
Continue reading →AI-Driven Data Analysis: A Senior Analyst’s Guide to Faster Insights
Learn how to use AI for SQL, Python, and data cleaning. Michael Park shares 5 years of analyst experience using Claude 3.5 Sonnet for faster insights.
Continue reading →Building a Professional Data Portfolio: My Experience and Lessons Learned
Learn to build a professional data portfolio. Michael Park shares insights on SQL, data visualization, and avoiding common data security risks.
Continue reading →Mastering SQL for Data Analytics: My Practical Path from Excel to AI-Driven Queries
Learn SQL for data analytics from Michael Park. Transition from Excel to MySQL, master joins, CTEs, and integrate AI for faster query optimization.
Continue reading →Scaling Your Data Analytics: My Practical Guide to Cloud Warehousing
Join Michael Park as he explains how to scale data analytics using Cloud Data Warehouses. Learn SQL optimization, partitioning, and cost control tips.
Continue reading →Essential Statistics for Data Science: A Python-Based Analytical Guide
Learn essential statistics for data analytics using Python. Michael Park covers EDA, hypothesis testing, regression, and A/B testing for business insights.
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