How I crushed the Google Data Analytics Professional Certificate in 30 days 🚀

​"Just wrapped up my Google Data Analytics journey, and what a ride it’s been! I decided to go 'all-in' and finished the 8-course series in just one month. Here’s the breakdown for anyone looking to do the same: ​1. The Grind (Weeks 1-2): Spent the first half mastering the Data Analysis Process (Ask, Prepare, Process, Analyze, Share, Act). I focused heavily on SQL—moving beyond basic SELECT statements to complex JOINS and subqueries. ​2. The Technical Pivot (Weeks 3-4): While many stick to Excel, I dove deep into RStudio. I used R for data cleaning (tidyverse) and visualization (ggplot2). I realized that for large datasets, R’s reproducibility is a game-changer compared to manual Excel work. ​3. Projects Completed: I didn't just watch videos; I built. I now have 4 core projects in my portfolio: ​Sales & Profitability Pipelines: Automating financial audits. ​Customer Intelligence: RFM analysis using Relational Databases. ​Supply Chain Fraud Detection: Analyzing DataCo sets for logistics leaks. ​Sales Velocity Audit: Tracking MoM growth metrics. ​4. My Key Takeaway: The certificate is the foundation, but the Capstone Project is where you actually become an analyst. Don't skip the cleaning phase—that’s where the real insights (and the 'NAs') are hidden! ​Ready to take on a Fresher Data Analyst role and solve some real-world problems. If you're hiring or want to talk R vs. SQL, let’s connect! 📈"