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Introduction to Pandas library
07:31
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Pip Concept
14:10
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Read CSV Files
10:55
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Read Excel files data
06:26
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Excel table headers Customization
06:41
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Extract Columns,Head, tail
12:10
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Rename Columns and Inplace parameter importance
13:54
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Delete Columns from your data -Drop/Del/Pop methods
09:51
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Insert a New Column in your data – Insert method and other ways
19:43
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Convert Data types using Astype & to_datetime functions- How and Why?
24:09
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Reduce data size techniques
08:39
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For Loops in DataFrame
10:36
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Range Loops with series and dataframe concepts
25:04
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Concatenate function – Combine the Data from multiple sources
36:44
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How to see all table headers in pycharm ,if too many
05:15
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Project – Append data from every excel sheet
12:00
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Project for you- Append one data into other but with a condition
27:00
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Project continues -Now Get excel sheet names automatically
05:10
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How to lookup data – Merge function
19:56
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Project for you – Create a single lookup column after output is extracted
10:35
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Lookup on Two Columns combination -Explore more Merge function
06:23
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Merge – Left index and Right index and what is a Set Index
10:14
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How to Filter a data
10:34
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Filter using between and isin methods
04:30
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How to solve the dates Filtering – Project for you
05:09
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Get rows – loc and iloc methods
37:07
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How to Lookup data from one table to another – Awesome project
29:57
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Remove or Drop Rows and Columns
33:21
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How to remove rows and columns using Drop method
19:59
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Get duplicates & Remove duplicates -drop duplicate & duplicated methods
26:52
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Surprise Test for you – Let us see how much you have learnt
25:11
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Remove or drop Nan values from data – Dropna
37:19
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How to change values
17:10
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Basic functions – sum, count, unique,nlargest,valuecount,nsmalles
28:16
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Group by – Data summarization
47:25
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Loops in Group by
18:00
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Pivots
17:05
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Pivot Project-Create a new column Zone Contribution
25:19
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Calculate each Zone Contribution – Next level
21:32
