Learn how to perform data analysis using pandas in python. Support me: BuyMeACoffee: Patreon: Ko-fi: Follow me: Twitter: Github: The Ultimate guide to Matplotlib: 0:00 Introduction to pandas 1:31 head method 2:28 tail method 2:34 info method 2:47 shape method 3:02 describe method 3:35 values attribute 3:52 columns attribute 4:01 index attribute 4:29 sort_values method 6:01 Subset columns 6:50 Subset rows (Boolean subseting) 7:59 isin method to subset rows 8:19 Add new columns 9:14 Summary statistics in pandas 9:42 agg method 10:46 Cumulative statistics 11:32 Remove duplicates using drop_duplicates method 12:06 Count using value_counts method 12:36 Grouped summary statistics using group_by method 14:01 Grouped summary statistics using pivot_table method 16:32 Indexing pandas dataframes 16:59 set_index method 17:16 reset_index method 17:36 Subseting using indexes 18:20 Hierarchical indexing/ multilevel indexing 18:44 Filter rows using loc method 19:51 Slicing dataframes using loc method 21:57 Slicing pivot tables 23:35 Handling missing values (NaN) 24:01 isna method (with any and sum methods) 24:41 Plotting missing values using matplotlib 25:16 Remove missing values with dropna method 25:31 Fill missing values with fillna method 25:55 Create a new dataframe in pandas 26:55 Export a dataframe as csv file Datasets: Penguin data: In-depth videos on: Linear Regression with statmodels (Python): Supervised Learning with scikit-learn (Python) Part I: Supervised Learning with scikit-learn (Python) Part II: Don’t forget to Like, Share, and Subscribe for more data science content! #python #dataanalysis #pandaslibrary