Indian Startups Analysis

As a Data Analyst has been tasked with investigating this start-up ecosystem in India, to recommend the best course of action for the team. My research is going to focus on the details of funding for these start-ups in India, where I will dive deep into a data containing all the details about fundings received by the start-ups and communicate my findings and recommendations to the team in the best way possible.

I will be leveraging the widely used CRISP-DM Framework for this project.

The CRISP-DM (Cross-Industry Standard Process for Data Mining) framework is a widely used methodology for data mining and data analysis projects. It provides a structured approach for planning and executing data projects. The process is cyclic and iterative, consisting of six phases:

1. Business Understanding

2. Data Understanding

3. Data Preparation

4. Modeling

5. Evaluation

6. Deployment

Though in this project, steps 4 and 5 won't be implemented.

Tools and Programming Languages Used: SQL, Python, Power BI, VS code (Jupyter Notebook).

Link to codes on GitHub: https://github.com/richmond-yeboah/Indian-Start-up-Ecosystem-Project/blob/main/Notebooks/main.ipynb

Link to Power BI dashboard: https://app.powerbi.com/view?r=eyJrIjoiYzIyNTllMGQtYjBlZi00ZTQ1LTlkOTMtMDI3MmFlNDgxM2Q3IiwidCI6IjFjZTU4MjFjLTE5NDItNDczMy1hNmRjLTBmYzNhODJiNzRkYiJ9

Link to project article on Medium: https://medium.com/@richmondyeboah299/indian-startup-ecosystem-09df73c28307