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Skills Covered:
🌟Python programming basics & OOP
🌟Data handling & manipulation with NumPy and Pandas
🌟Data visualization using Matplotlib and Seaborn
🌟Statistics and foundations of Data Science
🌟Supervised and Unsupervised Learning
🌟Regression techniques (Linear & Logistic)
🌟Time Series Analysis
🌟Real-world projects with Python
🏁 YouTube Video Chapters with Timestamps:
00:00 – Introduction
02:59 – Python Installation & Setup (PyCharm, Anaconda, Jupyter Notebook)
11:15 – Variables & Data Types
18:52 – Operators in Python
26:43 – Data Structures (Tuple, List, Dictionary, Set)
01:20:21 – Flow Control Statements
01:44:34 – Functions
01:59:32 – Object-Oriented Programming & Inheritance
02:49:55 – Python Libraries: NumPy, Pandas
03:50:03 – Data Visualization: Matplotlib & Seaborn
05:26:01 – Python Project: IPL Data
06:01:26 – Python Project: FIFA
06:22:23 – Python Project: Marvel/DC Characters
06:36:44 – Introduction to Data Science & Machine Learning
06:56:34 – Supervised & Unsupervised Learning
07:39:11 – Regression Techniques
09:31:53 – Time Series Analysis
Related Free Python & Data Science Learning:
🐍 Python Uses: https://bit.ly/GLAPythonforDataScience
📊 Python for Data Science: https://bit.ly/GLAPythonforDataScience
🖥️ Python Projects for Data Analysis: https://bit.ly/PythonProjectsforDataA...
🔍 Data Science with Python: https://bit.ly/FreeDataSciencewithPyt...
📈 Data Visualization using Python: https://bit.ly/DataVisualizationinPython
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