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Data_Analytics

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Introduction to Data Analytics

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<h1 align="center">📊 DataTales: Unveiling Data's Hidden Stories 📈</h1>

<p align="center">
  Dive into the fascinating world of data analytics with DataTales! Explore, analyze, and visualize data like never before. 🌟
</p>

<h2 align="center">Table of Contents</h2>

- [🚀 Introduction](#-introduction)
- [📂 Folder Structure](#-folder-structure)
- [🔥 Features](#-features)
- [💡 Getting Started](#-getting-started)
- [🌈 Data Stories](#-data-stories)
- [🤝 Contributing](#-contributing)
- [📝 License](#-license)

<h2 align="center">🚀 Introduction</h2>

<p align="center">
  Data analytics is the art of turning raw data into meaningful insights. DataTales is your gateway to this exciting world of discovery. Whether you're a data enthusiast, aspiring data scientist, or curious explorer, this repository is a treasure trove of knowledge, tools, and stories waiting to be unearthed. 🌍✨
</p>

<h2 align="center">📂 Folder Structure</h2>
<h6> Introduction</h6>
<h6> Formula Pivot Table </h6>
<h6> Charts And Dashboard</h6>
<h6> VBA MacrosAutomation</h6>
<h6> Statistics UseCase</h6>
<h6> Probability Permutation Combination</h6>
<h6> Population & Sampling</h6>
<h6> Hypothesis Testing</h6>
<h6> BITools Tableu</h6>
<h6> BITools Tableu Functions</h6>
<h6> Dashboard Demo</h6>
<h6> Worksheet PowerBI</h6>
<h6> Worksheet Demo</h6>
<h6> Python Learning</h6>
<h6> Numerical Python - Numpy</h6>
<h6> Pandas Python</h6>
<h6> Matplotlib Python</h6>
<h6> Seaborn</h6>
<h6> Kaggle Dataset Notebooks</h6>
<h6> MySQl Database</h6>
<h6> SQL Python</h6>
<h6> NoSQL Database -MongoDB</h6>
<h6> Machine Learning</h6>
<h6> Evaluating & Deploying ML</h6>
<h6> Introduction to DeepLearning</h6>
<h6> Tag Identification Using NLP</h6>
<h6> Power Query</h6>
<h6> Statics</h6>

<h2 align="center">🔥 Features</h2>

- 📈 **Exploration:** Dive into diverse datasets and uncover hidden patterns.
- 🧹 **Data Cleaning:** Tame messy data with powerful cleaning techniques.
- 📊 **Visualization:** Craft stunning visual stories with Python's data visualization libraries.
- 🤖 **Machine Learning:** Build predictive models and embrace the power of AI.
- 📝 **Data Stories:** Share your insights and discoveries through captivating narratives.
- 🌐 **Community:** Collaborate with a vibrant community of data enthusiasts.
- 🚀 **Continuous Learning:** Keep leveling up your data skills.

<h2 align="center">💡 Getting Started</h2>

1. **Clone the repository:**

2.**Set up your environment:**
   pip install -r requirements.txt

3.**Explore the notebooks:**
> Start with the ExploratoryAnalysis folder to unlock data's secrets.
> Dive into MachineLearning for predictive modeling adventures.
> Craft data stories in the Storytelling section.

# Contribute and share your DataTales!

<h2 align="center">🌈 Data Stories</h2>
<p align="center">
  DataTales is not just about numbers; it's about stories waiting to be told. Here are a few data adventures to ignite your imagination:
</p>
📚 Titanic: A Story of Survival - Explore the Titanic dataset and unravel the stories of survival.
🍷 Wine Quality: A Sommelier's Guide - Discover the characteristics of excellent wines.
🌦️ Weather Trends: A Climate Journey - Dive into historical weather data and trace climate trends.

<h2 align="center">🤝 Contributing</h2>
We welcome contributions from data enthusiasts of all levels! Check out our contributing guidelines to get started. Let's build DataTales together!
<p align="center">
  Happy data hunting! 🌟
</p>

Data_Analytics

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