BELLABEAT FITBIT FITNESS TRACKER ANALYSIS CLASS-12 "Presentation" USING JUPYTER NOTEBOOK 2025-26

🎥 Bellabeat–Fitbit Fitness Tracker Analysis Project | Data Analytics Using Python

Welcome to my data analytics project presentation! 📊
In this video, I explain how we analyzed Bellabeat–Fitbit fitness tracker data using Python and various data science tools.

🔹 Steps Covered:
1️⃣ Downloaded the dataset from Kaggle and imported it into Jupyter Notebook.
2️⃣ Loaded the data using Pandas and explored it using functions like shape() and describe().
3️⃣ Handled missing and incorrect data values.
4️⃣ Converted columns to appropriate data types for better analysis.
5️⃣ Renamed columns for clarity and easy readability.
6️⃣ Checked for zero, negative, and outlier values using boxplots.
7️⃣ Generated summary statistics for a clear understanding of the dataset.

🔹 Tools & Libraries Used:
Python | Pandas | NumPy | Matplotlib | Seaborn

🔹 Project Summary:
This project provides a comprehensive introduction to the fundamentals of data analytics, making it easy to understand for beginners and valuable for aspiring data analysts. It focuses on applying real-world data from smart fitness devices to draw meaningful insights about user behavior and wellness trends.

📚 Project Type: Data Analytics
🏫 Presented by: Akash Singh, Sai Public School, Kashipur
📚 Project Title: Bellabeat–Fitbit Fitness Tracker Analysis
🎓 Category: Data Science / Machine Learning
👨‍💻 Language: Python
🏷️ Keywords: Data Science, K-Means, Clustering, Customer Analysis, Python Project
‍⛓‍💥Links: https://drive.google.com/drive/folders/1bpSAVzgMWNs6KlDZU-ZYFYjWBoax3nPG?usp=sharing

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