I was privileged to work with an amazing team of five (5) aspiring Data Analysts with the aim of performing an in-depth data analysis that aims to gain valuable insights into the Indian Startup Ecosystem by looking at datasets from 2018 to 2021.
- Project Description
- Data Sources
- Libraries to install
- Usage
- Expected Learning and Skills Acquired
- Essential links
- Contributors
This project is a data analysis built using Python 3.11 on a Windows operating system. The IDE used for development was Visual Studio Code.
- 2021 & 2020 were stored in a Database.
- 2019 was stored in a Microsoft OneDrive.
- 2018 was stored in a github repository.
To run the project, make sure you have the following Python modules installed using 'pip':
- numpy
- pandas
- matplotlib
- seaborn
- statsmodels for the project.
- seaborn
- matplotlib
- pandas
- import numpy as np
- import pandas as pd
- import matplotlib.pyplot as plt
- import seaborn as sns
- import pyodbc
- from dotenv import dotenv_values
- import statsmodels.api as sm
- from statsmodels.formula.api import ols
- import re
- import warnings
- Asking SMART questions.
- Data Summary
- Aligning Business objectives to Data Analysis
- Data Cleaning process and Documention.
- Data Visualization using PowerBI.
- Teamwork and Collaboration
Article: https://www.linkedin.com/pulse/unraveling-indian-startup-ecosystem-data-analysis-kofi-bamfo
PowerBI Dashboard: https://app.powerbi.com/groups/me/reports/b48244af-d664-49f4-8626-be0c8add24b5/ReportSection?redirectedFromSignup=1&experience=power-bi
| Edinam Doe Abla | https://github.com/doeabla |
| Enoch Taylor-Nketiah |https://github.com/akbamfo |
| Timothy Morenikeji Akinremi | https://github.com/timothyakinremi
| Philip Oludipe Tolulope |
| Godfrey Chinebe |