This project aims to provide data-driven insights into sectors of interest, and notable trends within the Indian startup ecosystem.
To exploration of the Indian startup funding ecosystem from 2018 to 2021 in this comprehensive project. We will get into details of the datasets, each representing a year of funding entrepreneurial activities, we aim to uncover patterns, trends, and critical insights that characterize the funding ecosystem during this transformative period.
In the increasingly dynamic field of Indian startups, understanding the flow of funds from investors is crucial for both entrepreneurs and investors. This project aims to provide data-driven insights into investment patterns, sectors of interest, and notable trends within the Indian startup ecosystem.
The project uses Python programming language and various libraries such as pandas, numpy, matplotlib, seaborn, and pyodbc python-dotenv for database connectivity and Power Bi for Visualization.
The Dataset was for 2018 and 2018 on csv files and 2020 2021 on SQL files
The following command was to be installed Install pyodbc - a package for creating connection strings to your remote database server Install python-dotenv - a package for creating environment variables that will help you hide sensitve configuration informantion such as database credentials and API keys The following libraies was imported for this project import pyodbc from dotenv import dotenv_values #import the dotenv_values function from the dotenv package import pandas as pd # For data manipulation and analysis import numpy as np import warnings from scipy import stats import statistics as stat from scipy.stats import f_oneway warnings.filterwarnings('ignore')
import matplotlib.pyplot as plt # For basic data visualization import seaborn as sns And used Power Bi for my Visualization presentation.
MIT License. Check LICENSE.md for more information.
I would like to express my sincere gratitude to the Azubi Africa Team for the unwavering support throughout this project. Their valuable insights, guidance, and encouragement significantly contributed to the success of this endeavor.
I also extend my appreciation to my Oasis Team for their support and good coordination throught this project. Above all, their commitment to excellence and willingness to go the extra mile did not go unnoticed.
In addition, I want to thank my family and friends for their unwavering support and understanding during the course of this project.
This work wouldn't have been possible without the collective effort and collaboration of everyone involved. Thank you all for your contributions.