Welcome to the Data Science Guide Repository! This repository contains comprehensive resources and examples to help you learn Data Science concepts and tools.
- 📌Cloud Computing: Explore cloud computing concepts relevant to Data Science applications.
- 📌Data Analysis: Learn about data analysis techniques and tools used in Data Science.
- 📌Machine Learning: Dive into machine learning algorithms and methods for predictive analytics.
- 📌Power BI: Discover Power BI for data visualization and business intelligence.
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📌Python: Explore Python programming language for data manipulation, analysis, and visualization.
- 📍Data Type: Understand different data types and structures used in data science.
- 📍Exception Handling: Learn how to handle exceptions and errors in Python.
- 📍Functions: Explore functions and methods for organizing code and enhancing reusability.
- 📍Modules: Discover Python modules for extending functionality and organizing code.
- 📍New Implementation: Explore new implementations and techniques in data science.
- 📍Oops: Understand object-oriented programming concepts and their application in data science.
- 📍Projects: Dive into data science projects for practical application and learning.
- 📍Python Libraries: Explore popular Python libraries for data manipulation, analysis, and visualization.
- 📍SQLite in Python: Learn about SQLite database management in Python.
- 📍Data Structures: Deepen your Python concepts by learning DSA for efficient programming and solving real-world problems.
Feel free to explore the contents of each folder to deepen your understanding of Data Science concepts and tools.
This repo is protected through license, kindly use it for educational purpose only.