00:31 Pandas, features and applications
03:35 Important data structures in pandas( Series and DataFrame)
03:40 Series
06:15 Labels
08:18 Key/value objects as series
09:58 Reading multiple elements from series using loc and iloc
12:51 Series using list and dictionary
14:19 DataFrame
16:58 head and tail methods in DataFrame
19:11 Reading CSV files, JSON Files, MSExcel files using pandas
22:41 Categorical and ordinal data
24:33 Merging DataFrames, Joining DataFrames, Concatenating DataFrames
27:45 Iterating data using iteritems(), iterrows(), itertuples() methods

31:29 handling missing data using various functions in pandas

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