Data Analysis Python Projects

Ayushi Mishra

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Data Analysis Python Projects
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1 x A/B Testing & Regression Analysis Project
Boost Your Analytical Skills with A/B Testing & Regression Analysis using Python This project is perfect for those who a… Read more
1 x Maximizing Revenue for Drivers using Python
Boost Your Analytical Skills with Hypothesis Testing using Python This statistics project is a hypothesis testing projec… Read more
1 x Airlines Data Analysis Project Resources
Boost Your Data Analysis Skills with Real World Python and SQL Project Looking to add a practical, high-impact project t… Read more
1 x Financial Analysis (CAPM) Project using Python
Level Up Your Portfolio with this Financial Analytics Project Are you an aspiring data analyst looking to add a high-imp… Read more
1 x User Engagement Analysis using Python and SQL
Boost Your Real Time Project Handling using SQL and Python This SQL Portfolio Project is perfect for anyone looking for… Read more
1 x Hotel Booking Analysis using Python
Elevate Your Portfolio with this Data Analytics Project using Python This comprehensive Hotel Booking Analysis project,… Read more
1 x Vendor Performance Analysis Project Resources
💼 Get Hired Faster with This Real-World Data Analyst Project Kit ✅ SQL • Python • Power BI • Report Writing - All In Co… Read more

This package offers 7 Best Data Analysis Projects (including SQL, hypothesis testing, EDA, visualisations, report making, business problems) using python that you can add in your resume/portfolio.


Note:

  1. You will get all the resources (Code, Data, Report PDF) for these projects and also video tutorials.
  2. You can even watch tutorial before purchasing resources.
  3. All these projects are also available individually on the home page, if you do not want to purchase them all.


Vendor Performance Analysis (Company Standard)

  1. Understanding the Business Problem
  2. SQL Data Analysis & Cleaning
  3. EDA with Python (Matplotlib, Seaborn, Pandas)
  4. Hypothesis Testing & Confidence Interval
  5. Power BI Dashboard
  6. PDF Report Making

Video Tutorial: https://www.youtube.com/watch?v=Jk8lCFnEmtM&list=PLunlGNVWDAabWhgYxuaeVES_20YZ8Ycp2&index=1


A/B Testing & Regression Analysis Project

  1. Business Problem
  2. Exploratory Data Analysis
  3. Comparing Campaign Performance
  4. AB Testing (Hypothesis Testing)
  5. Regression Analysis
  6. Time Series Analysis

Video Tutorial: https://www.youtube.com/watch?v=iCj4lT5KvJk

Hotel Booking Analysis

  1. Business Problem
  2. Exploratory Data Analysis
  3. Data Analysis for different research questions
  4. Analyzing and Visualizing Insights
  5. PDF Report Making

Video Tutorial: https://youtu.be/obJZ1rB7TKc?si=esXE8xQclRWbiXe6


Airlines data analysis using Python and SQL:

  1. Business Problem
  2. Database connection and EDA using SQL query
  3. Data Analysis for different research questions using SQL query
  4. Analyzing and Visualizing Insights
  5. PDF Report Making

Video tutorial: https://youtu.be/LcMjsqZiSjY?si=Ko6tg07m82ch1Wsc


CAPM web application using Python (Financial Analysis):

  1. Financial Time Series Analysis
  2. Capital Asset Pricing Model (CAPM)
  3. Risk Free Asset and Market Portfolio Return
  4. Calculating Beta
  5. Creating Web Application for presenting insights


Video tutorial: https://youtu.be/ibkrdqM2naU?si=v9J8xJ30n-96uNwv


User Engagement Analysis using YELP Dataset (SQL Project):

  1. Business Problem
  2. Research Objectives
  3. Hypotheiss Testing
  4. Analysis using SQL query and visualization
  5. Report Making

Video tutorial: https://www.youtube.com/watch?v=2VMAdlzNuTw


Maximizing Revenue for Drivers using Python

1. Craft a compelling research question about a company's operations.

2. Set up null and alternative hypotheses for rigorous testing.

3. Choose the right statistical test based on your data type.

4. Analyse real-world data and draw data-driven conclusions.

5. Present your findings in a clear and impactful way (PPT)

6. Storytelling with data

Video Tutorial: https://www.youtube.com/watch?v=fNdUIzq8sb0

What are people saying

real world projrct with real industry project probleam and solution
Anonymous
Aug 2025
I recently had the opportunity to review the Vendor Performance Analysis Data shared by Ayushi Mishra, and I must say it was extremely well-prepared and insightful. The data was presented in a clear and organized manner, which made it easy to analyze key performance metrics and draw meaningful conclusions. It certainly helped me save time and added value to our vendor evaluation process. Thank you, Ayushi, for your excellent work and support! — Abdul Rehman
Abdul Rehman
Jul 2025
The most striking aspect of your Vendor Performance Analysis project is how practical and business-oriented it is. You didn't merely venture into data—you established a full end-to-end pipeline, from data ingestion and SQL-driven transformation all the way to calculating meaningful KPIs and developing a professional Power BI dashboard. The project beautifully illustrates real-world issues such as vendor reliance, slow-moving stock, and pricing inefficiencies supported by robust statistical justification. Your clean SQL design with CTEs, meaningful insights (such as discovering $2.7M of unsold inventory), and modular code demonstrate a strong grasp of both business strategy and data analytics—making it feel like a real company project, rather than an academic one.
ARNAB KAR
Jul 2025
every thing is good but a request make such kind of beginner friendly too. like how to install particular software , how to use it in project then those things what you explained . it will be a complete package for the fresher with top notch clarity too.
Anonymous
Jul 2025
The project was easy to follow and complex topics were breakdown to explain in similar manner.
Anonymous
Jul 2025
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