Introduction

Python. 1st Dataset. PDF files. Tika OCR. Regular Expression. Array und Function

Pandas DataFrame. Kaggle. Jupiter Notebook.

Independent Work Tasks. 2nd Dataset.

GitHub. Desktop GitHub

Kaggle. Jupiter Notebook. Create an account. Plotting with matplotlib and seabor

📚 Additional materials on topics covered in the course:

Kaggle. The Beginner’s Guide
https://elitedatascience.com/beginner-kaggle

Jupyter Notebook: An Introduction
https://realpython.com/jupyter-notebook-introduction/

Delete rows/columns from DataFrame using Pandas.drop()
https://www.geeksforgeeks.org/python-delete-rows-columns-from-dataframe-using-pandas-drop/

Simple Scatter Plots
https://jakevdp.github.io/PythonDataScienceHandbook/04.02-simple-scatter-plots.html

🔎 Topics covered in this course:

  • How do I upload a file to kaggle kernel?

  • How do you use kaggle dataset?

  • How to run Jupyter notebook using Kaggle kernels?

  • How to convert a CSV to dataframe in Python Jupyter Notebook?

  • How to use the functions of Pandas Dataframe?

  • How do I change the date format of a column in pandas?

  • How do I convert a string to datetime Objects in Python?

  • How to Calculate Difference Between Two Dates in Pandas Dataframe?

  • How do I delete a column in pandas DataFrame?

  • How do I add columns in  pandas DataFrame?

  • How do you visualize a dataset?

  • How do you plot a DataFrame in pandas?

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