Welcome to this course on Data Science For Beginners With Python Pandas. Learn how Perform a Many of data operations in Python’s popular Pandas library.

🐼 Content 🐼
00:00:01 1 - Introduction to Data Science + Python Environment Setup
00:08:57 2 - Importing Datasets in Pandas and Removing Junk
00:24:23 3 - Copying, Selecting, Indexing data from Pandas Dataframes
00:40:22 4 - Pandas dataframe Counting, Summarized view, Data Types
00:54:26 5 - Cleaning and Converting the Pandas Dataframe columns
01:07:13 6 - If Else and Looping Constructs in Pandas Part 1
01:19:16 7 - If Else and Looping Constructs in Pandas Part 2
01:24:29 8 - Exporting data to file, Aggregate Statistics, Describing
01:35:53 9 - Calculate Frequency Tables, Two way Tables…
01:45:53 10 - Conditional Probability and Correlation in Pandas
01:57:20 11 - Dataframe Visualization using Matplotlib and Seaborn
02:11:23 12 - Numerical and Categorical variables with Matplotlib
02:23:53 13 - Filling Missing Categorical values in Pandas Dataframes
Accuracy measures in Data Mining

Link to notebook and dataset:https://github.com/gshanbhag525/Programming-Knowledge-

#python #pandas #data-science