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.
Continue reading →Mastering Enterprise Cloud Data Warehousing for Marketing Strategy and Performance
Master cloud data analytics for marketing. Learn SQL, GA4 exports, and ROAS calculations using Google Cloud Platform for scalable business intelligence.
Continue reading →Professional Spreadsheet Automation: A Data Analyst's Guide to Scalable Workflows
Learn professional spreadsheet automation using Google Apps Script, QUERY, and API integration. A comprehensive guide by data analyst Michael Park.
Continue reading →Automating Data Analytics with Python Scripting: A Practitioner's Perspective
Learn how AI-assisted Python scripting transforms data analytics. Expert insights on transitioning from Excel to automated reporting and machine learning.
Continue reading →Mastering R Programming for Data Analytics: A Practical Guide for Beginners
Learn R programming for data analytics from a 5-year analyst. Master RStudio, Tidyverse, and ggplot2 to move beyond Excel for business intelligence.
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