Python Data Science Tutorial (English) (Part 1)

   Monday, May 06, 2024   

Starting a new Lecture Notes Series on Python Data Science Tutorial

Youtube Lecture Playlist Credits 

Channel Name: codebasics

So Let Us Start to This Journey of Learning 

Python Data Science Tutorial By Lecture Notes together!

Lecture 1: What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics

Lecture 2: Data Science Roadmap 2023 | Learn Data Science Skills in 6 Months

Lecture 3: Business Math & Statistics Using Excel For Data Analysts and Data Scientists

Lecture 4: What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics

Lecture 5: Data Science Roadmap 2023 | Learn Data Science Skills in 6 Months

Lecture 6: Business Math & Statistics Using Excel For Data Analysts and Data Scientists

Lecture 7: 3. Numbers [Python 3 Programming Tutorials]

Lecture 8: 4. Strings [Python 3 Programming Tutorials]

Lecture 9: 5. Lists [Python 3 Programming Tutorials]

Lecture 10: 6. Install PyCharm on Windows [Python 3 Programming Tutorials]

Lecture 11: 7. Debug Python code using PyCharm [Python 3 Programming Tutorials]

Lecture 12: 8. If Statement [Python 3 Programming Tutorials]

Lecture 13: 9. For loop [Python 3 Programming Tutorials]

Lecture 14: 10. Functions [Python 3 Programming Tutorials]

Lecture 15: 11. Dictionaries and Tuples [Python 3 Programming Tutorials]

Lecture 16: 12.1 - Install Python Module (using pip) [Python 3 Programming Tutorials]

Lecture 17: 12. Modules [Python 3 Programming Tutorials]

Lecture 18: 13. Working With JSON [Python 3 Programming Tutorials]

Lecture 19: 14. if __name__ == "__main__" [Python 3 Programming Tutorials]

Lecture 20: 15. Exception Handling [Python 3 Programming Tutorials]

Lecture 21: 16. Class and Objects [Python 3 Programming Tutorials]

Lecture 22: What is Jupyter Notebook? | Jupyter Notebook Tutorial in Python

Lecture 23: What is Anaconda? Install Anaconda On Windows.

Lecture 24: Jupyter Notebook Tutorial / Ipython Notebook Tutorial

Lecture 25: numpy tutorial - basic array operations

Lecture 26: Python Pandas Tutorial 1. What is Pandas python? Introduction and Installation

Lecture 27: Python Pandas Tutorial 2: Dataframe Basics

Lecture 28: Python Pandas Tutorial 3: Different Ways Of Creating DataFrame

Lecture 29: Python Pandas Tutorial 4: Read Write Excel CSV File

Lecture 30: Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate

Lecture 31: Python Pandas Tutorial 6. Handle Missing Data: replace function

Lecture 32: Python Pandas Tutorial 7. Group By (Split Apply Combine)

Lecture 33: Python Pandas Tutorial 8. Concat Dataframes

Lecture 34: Matplotlib Tutorial 1 - Introduction and Installation

Lecture 35: Matplotlib Tutorial 2 - format strings in plot function

Lecture 36: Matplotlib Tutorial 3 - Axes labels, Legend, Grid

Lecture 37: Matplotlib Tutorial 4 - Bar Chart

Lecture 38: Matplotlib Tutorial 5 - Histograms

Lecture 39: Matplotlib Tutorial 6 - Pie Chart

Lecture 40: Machine Learning Tutorial Python -1: What is Machine Learning?

Lecture 41: Machine Learning Tutorial Python - 2: Linear Regression Single Variable

Lecture 42: Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables