This project is part of the IBM Data Science Professional Certificate Capstone. The goal of the project is to analyze the Stack Overflow Developer Survey data to gain insights into developer demographics, job preferences, and other trends in the software development industry.
The data used in this project comes from the Stack Overflow Developer Survey, which is conducted annually by Stack Overflow. The survey covers a wide range of topics, including programming languages, frameworks, job satisfaction, salaries, and more.
- Data Import: Facilitates data imported from Stack Overflow for continuous analysis.
- Data Cleaning: Ensures data quality and consistency.
- Data Analysis: Analyzes key metrics and trends in credit card transactions.
- Visualization: Provides interactive dashboards for easy interpretation of data.
- Decision Support: Offers insights to support data-driven decision-making.
- Python: Data cleaning and preprocessing.
- SQL: Data extraction and querying.
- Power BI,Google Looker,Excel: Data visualization and dashboard creation.
The results of the analysis, including visualizations and summary statistics, are saved in the m7_IBM_Capstone_presentation.pptx/ directory. You can find detailed explanations and interpretations in power point slides.
mx_name.ipynb contains what I did in that module.
example: 'M2DataWrangling-lab.ipynb/' contains Wrangling of the data
- IBM for providing the framework and resources for this capstone project.
- Stack Overflow for conducting and sharing their annual Developer Survey.
- The open-source community for their invaluable tools and libraries.
- Email: [email protected]
- LinkedIn: Md. Lutful Kabir
- Portfolio: Md. Lutful Kabir