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Analysis of Indian Startup Fundings (2015-2020)

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Introduction

Are you interested to know What types of startups are getting fundings in India? Who are the prominent investors investing in these startups? Which fields get a lot of funds these days?
This dataset is a chance to explore the Indian startup scene. Lets deep dive into this dataset and derive insights about it.
The dataset has been downloaded from Kaggle Dataset. The libraries for data analysis and visualization used in this project are Numpy, Pandas, Matplotlib and Seaborn. These libraries are covered in the course by Jovian.ml named as Data Analysis with Python: Zero to Pandas.

Key Insights

  • Data is in Common Separated Value (C.S.V) format.
  • Visualization are done to find the anomalies and missing patterns from data.
  • We need to understand how fundings changes with time.

This notebook will help you to give answer to following questions :

  • How does the funding changes from time ?
  • Do cities play a major role in funding ?
  • Which industries are favored by investors for funding ?
  • Who are the important investors in the Indian Ecosystem ?
  • How much funds does startups generally get in India ?
project_name = " Indian Startup Fundings from 2015-2020 "
!pip install jovian --upgrade -q
import jovian