Practice exercises and projects to learn data analysis with Excel. Let's explore together! 🔍💻

Project-based curriculum for teaching Arduino, IoT, and data science across secondary school levels (educational)

This repository contains an in-depth analysis of a cybersecurity dataset. The primary goal is to identify patterns, vulnerabilities, and trends in cyberattacks by leveraging various visualizations and statistical insights. The project provides actionable insights for enhancing cybersecurity measures.

This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.

A project for analysing blockchain transactions and tracing fund movements using Tronscan APIs. Verifies recipient addresses, checks transaction accuracy, and maps fund flows to detect discrepancies, ensuring transparency and integrity in cryptocurrency transactions.

Detailed Analysis of Features that affects Student Performance

KC House Data Analysis

Data Analysis with Python Challenge 2 fcc-demographic-data-analyzer

AlmaBetter Capstone Project -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.

An exploratory and explanatory data analysis project using python.

Yahoo Finance Analysis with Python: using Python and its powerful libraries like pandas, seaborn, statsmodels such as OLS Regression(Machine Learning Techniques), and matplotlib! these tools to import and analyze stock data from Yahoo Finance over the last 5 years.

This project analyzes Poland's housing rental and buying market, using the latest data from fromrightspace and tools like Python Snowflake and Tablue. Please take a look at the readme file for more information.

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In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

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Analyzed sales data to uncover key business insights, such as identifying the brand with the highest order volume, the proportion of B2B orders, and total order count. This analysis highlights trends to guide strategic business decisions.

Telco Customer Churn Analysis - Data analysis and visualization to identify churn patterns in telecom customers. Includes EDA, feature engineering, and optional machine learning modeling to predict churn and provide business insights.

Electoral Bond Data Analysis Using Python : This repository contains a comprehensive analysis of electoral bonds in India using Python. The project aims to understand the distribution, trends, and impact of electoral bonds on political funding. It includes data cleaning, exploratory data analysis, visualization, and reporting.

This project analyzes the Lok Sabha election results to provide insights into the distribution of seats among various political parties. The analysis includes:

Welcome to the exciting world of time series forecasting, where we embark on a journey to predict store sales for Favorita, one of Ecuador's largest and most prominent grocery retailers. In this data-driven project, we delve deep into the intricate art of predictive analytics, armed with historical sales data, cutting-edge machine learning skills

An Exploratory Data Analysis on the overall performance of Evans Superstore accross various segments like Sales, Gender, Products etc

This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

Project : Analysis of Diwali sales for finding the target customer their occupation and the category which generate large amount of sales .

Creating a custom ML project then deploying in environment for testing and further observations of Industrial Data.

merging and automating files to table format

Data analyzing and visualization of the Zomato dataset is to get a fair idea about the factors affecting the aggregate rating of each restaurant.

Python project for beginners- Analyze Diwali sales data to improve customer experience and sales

Analysis on Delhivery

Data Analysis with Python Challenge 1 fcc-mean-var-std