My Honest Experience Using AI for Data Analytics and Coding
A data analyst shares real experiences using AI for data analytics, SQL optimization, and Python automation. Learn what works and where AI fails.
Continue reading →Applied Statistics for Data Science: My Honest Review and Practical Guide
A 5-year data analyst reviews the Probability and Statistics for Business and Data Science course. Learn how to apply SQL, A/B testing, and regression to real data.
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A data analyst's honest guide to building automated ETL pipelines using SSIS. Learn how to transition from manual Excel tasks to automated data workflows.
Continue reading →Cracking the Tableau Certifications: My Honest Experience and Prep Strategy
A 5-year data analyst reviews Tableau certification prep. Discover the pros, cons, and real-world skills needed for the Desktop Specialist and Analyst exams.
Continue reading →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.
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