The barrier between "thinking about" and "actually building" data projects has completely collapsed.
What used to take months now happens in conversations:
2015: Data Analytics Project Timeline
1. Spend weeks learning SQL basics; 2. Struggle for days importing data; 3. Write hundreds of lines of code with countless errors; 4. Google endlessly to fix broken visualizations; 5. Finally create basic insights after months of effort.
2025: Data Analytics Project Timeline 1. "ChatGPT, scrape these 5 job descriptions and tell me what project would impress these companies"; 2. "Create a step-by-step plan for building a churn prediction dashboard"; 3. "Write the SQL queries to extract this data"; 4. "Debug this code that isn't working"; 5. "Generate visualization code for these insights".
Mo Chen
Data Projects Feel ILLEGAL Now: 2010 vs 2025
The barrier between "thinking about" and "actually building" data projects has completely collapsed.
What used to take months now happens in conversations:
2015: Data Analytics Project Timeline
1. Spend weeks learning SQL basics;
2. Struggle for days importing data;
3. Write hundreds of lines of code with countless errors;
4. Google endlessly to fix broken visualizations;
5. Finally create basic insights after months of effort.
2025: Data Analytics Project Timeline
1. "ChatGPT, scrape these 5 job descriptions and tell me what project would impress these companies";
2. "Create a step-by-step plan for building a churn prediction dashboard";
3. "Write the SQL queries to extract this data";
4. "Debug this code that isn't working";
5. "Generate visualization code for these insights".
It feels almost criminal how easy it's become.
1 week ago | [YT] | 167