Analyzing Startup Fundraising Deals from Crunchbase

  • Guided Project
  • 0.2 hours
  • Beginner
  • Python
  • SQL

Practice using pandas and SQLite to analyze startup fundraising deals from Crunchbase.

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Overview

In this project, you'll assume the role of a data analyst examining startup investments from Crunchbase. You'll apply pandas and SQLite skills to work with a large dataset, analyzing fundraising rounds to uncover insights on successful startups and active investors. Throughout the project, you'll practice techniques for handling memory constraints, selecting optimal data types, and leveraging SQL databases. You'll develop your ability to apply the pandas-SQLite workflow to real-world scenarios. If you're new to these tools, consider our Pandas and SQLite Fundamentals course. Objective: Analyze Crunchbase investment data to identify startup fundraising trends and key drivers of successful ventures.

What You'll Learn

  • ✓ Run the pandas and SQLite workflow on a new dataset
  • ✓ Analyze startup fundraising deals using a new workflow

Before You Start

  • ✓ Reading data into pandas DataFrames and accessing data
  • ✓ Performing column calculations and Boolean filtering in pandas
  • ✓ Optimizing pandas DataFrame memory usage with efficient data types
  • ✓ Processing large DataFrames in chunks to increase speed in pandas

Project Steps

4 steps

  1. 1 Introduction
  2. 2 Selecting Data Types
  3. 3 Loading Chunks into SQLite
  4. 4 Next Steps
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