00:03 Python Pandas is a popular library for data analysis and manipulation. 02:47 Pandas library features and time series handling 07:41 Creating arrays and series in Pandas 10:04 Creating and using data frames in Pandas 14:58 Categorical data and indexing in Pandas 17:20 Modifying the index of a data frame with set index function 21:35 Resetting the index in Pandas data frame 23:38 Operations on data in Pandas 27:57 Data aggregation in pandas 30:01 Vectorization in Python Pandas 33:58 Get help with doubts and queries Crafted by Merlin AI.
you should have shown example for each filter, lambda apply etc. This would have been more helpful
Sure will take this as a suggestion and work on it.
00:03 Python Pandas is a popular library for data analysis and manipulation.
02:47 Pandas library features and time series handling
07:41 Creating arrays and series in Pandas
10:04 Creating and using data frames in Pandas
14:58 Categorical data and indexing in Pandas
17:20 Modifying the index of a data frame with set index function
21:35 Resetting the index in Pandas data frame
23:38 Operations on data in Pandas
27:57 Data aggregation in pandas
30:01 Vectorization in Python Pandas
33:58 Get help with doubts and queries
Crafted by Merlin AI.
Informative 👍
These all questions came in interview and this questions are enough for fresher data analyst in interview ?
Hello Kalyanam, yes these are frequently asked questions for both freshers and experienced and it is enough to crack interview for freshers.
Explanation was too good
Thanks