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The-Indian-Startup-Project

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.

Table of Contents

  • Project Description
  • Data Sources
  • Libraries to install
  • Usage
  • Expected Learning and Skills Acquired
  • Essential links
  • Contributors

Project Description

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.

Data Sources

  • 2021 & 2020 were stored in a Database.
  • 2019 was stored in a Microsoft OneDrive.
  • 2018 was stored in a github repository.

Libraries to install:

To run the project, make sure you have the following Python modules installed using 'pip':

  • numpy
    • pandas
      • matplotlib
        • seaborn
          • statsmodels for the project.

Usage

For numerical computation, data analysis and manipulation

  • import numpy as np
  • import pandas as pd

For data visualizations

  • import matplotlib.pyplot as plt
  • import seaborn as sns

Other supporting libraries.

  • import pyodbc
  • from dotenv import dotenv_values
  • import statsmodels.api as sm
  • from statsmodels.formula.api import ols
  • import re
  • import warnings

Expected Learning and Skills Acquired

  • Asking SMART questions.
  • Data Summary
  • Aligning Business objectives to Data Analysis
  • Data Cleaning process and Documention.
  • Data Visualization using PowerBI.
  • Teamwork and Collaboration

Essential links

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

Contributors:

| 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 |

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