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Today and Future of Data Analysis and Coding

This project was realized as part of the IBM Data Analyst Specialization (Course 9) on Coursera.


🎯 Project Aim

The project aims to analyze popular coding environments and tools and to explore their relations to education levels, compensation, and job satisfaction.

ppt_intro

📄 See the full presentation (PDF)

💡 Key Insights

  • $100K will continue to be the ballpark average for yearly compensation, with $250K being the virtual top EXCLUDING outliers.
  • Job satisfaction will still BE BASED ON work experience, work modes, and work stress rather than compensation.
  • JavaScript, Python, SQL, TypeScript, PostgreSQL, Amazon Web Services, Node.js, and React will be the leaders of the near future, not without threatening rivals. Go and Rust represent the NEW WAVE within programming languages.
  • MySQL should be watched carefully in the coming years, as its decrease in popularity might BECOME CHRONIC.
  • HTML/CSS will continue to lose ground as simpler frameworks allow developers to build AESTHETIC and interactive web pages/apps.
  • A UNIVERSITY DEGREE will continue to bring more job opportunities, but often with an in-person work mode.

📊 See the full insights (PDF)

report_comp_jobsat

🔍 To Dwell On

  • The number of jobs in Washington D.C. is 65% higher than in New York, EVEN THGOUH the latter is two and a half times more populated.
  • C++ is one of four languages whose users earn more than $100K annually DESPITE its unpopularity, falling outside the top 10.
  • Front-end developers earn 20% less compared to full-stack and back-end developers, WHILE they constitute one-ninth of the respondents across these three categories.
  • High earners are usually 24-35 year-olds with a bachelor’s degree, WHEREAS the highest job satisfaction is reported by the unemployed.
  • Swift is the language whose users earn the most on average, BUT the reason for this remains unclear.
  • Rivalry between database brands is overt, THOUGH PostgreSQL seems unbothered as a leader.
dashtab2

📈 See the dashboard (PDF)

About

This repo harbors the notebooks, an insights document, a dashboard (pdf) created on IBM cognos analytics and a power point presentation, all related to the IBM Data Analyst Capstone Project.

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