Python Pandas - Python Library For Data Analysis

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Sarath Chandran K

57:09

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1. Creating DataFrame.mp4

04:52

2.1 df_create2.zip

2. Creating DataFrame From Nested Lists.mp4

04:21

3.1 df_add_col.zip

3. Add Columns And Rows To DataFrame.mp4

05:37

4.1 df_del_col.zip

4. Deleting Rows And Columns From The DataFrame.mp4

03:49

5.1 df_attributes.zip

5. DataFrame Attributes.mp4

05:51

6.1 df_functions.zip

6. DataFrame Functions.mp4

05:04

7.1 df_grouping.zip

7. DataFrame Grouping Values.mp4

05:10

8.1 df_loc.zip

8. DataFrame loc and iloc methods.mp4

05:10

9.1 df_filtering.zip

9. DataFrame Filtering Data Based On Conditions.mp4

05:55

10.1 df_to_html.zip

10. DataFrame To HTML And Dictionary.mp4

02:00

11. DataFrame To CSV ,CSV To DataFrame.mp4

03:57

12. Data Cleaning.mp4

05:23

Description

Learn Python DataFrame Operations

What You'll Learn?

How to use python pandas library
Doing data analysis with pandas
Doing all operations with DataFrame
Creating DataFrame From CSV and doing all operations

Who is this for?

Doing all operations with pandas DataFrame

More details

Description
Python Pandas is a library for data analysis.
In Pandas library DataFrame is used to do all operations related to data analysis.
A Pandas DataFrame is a 2 dimensional data structure with rows and columns.
In this course you will learn how to do all operations with pandas DataFrame.

Through this course you will learn the following :-

1. Creating DataFrame
How to create DataFrame from different python data structures.

2. Adding Columns and Rows to DataFrame
How to add data(column,row) to the DataFrame

3. Deleting Rows and Columns From DataFrame
How to delete rows and columns from DataFrame

4. DataFrame Attributes
Attributes which gives information about DataFrame

5. DataFrame Functions
Functions that will help in data analysis

6. DataFrame Grouping
How to group data in the DataFrame

7. Locating data in DataFrame
How to locate data based on columns and rows

7. DataFrame Filtering
How to filter data from DataFrame

8. DataFrame and CSV
How to create DataFrame from CSV files and how to convert DataFrame to CSV files.

9. DataFrame to HTML
How to convert DataFrame to HTML file

10. Data Cleaning
How to clean unwanted data

After completing this course , you will learn how to create DataFrame from large CSV files and to analyse the data.
Once the DataFrame is created we can add columns, and rows of data to it. We can also delete columns and rows from the
DataFrame . We have various functions that helps us in doing data analysis on DataFrame data.Â We have support for filtering and grouping data . We can also delete unwanted data from the DataFrame.
You will learn how to convert the DataFrame to different files ,CSV and HTML.
Who this course is for:
Doing all operations with pandas DataFrame

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I am a Software Developer from Kerala, India. I am interested in Python , Javascript, Django REST , React and NodeJS. I am an experienced Software Developer . I have experience working in both the front-end and back-end aspects of web-development. My area of interest is Web-development. I will be releasing web-development courses very soon. I have completed Msc Computer science from University institute of technology (U.I.T) Alappuzha,kerala.After my post graduation ,i joined the IT industry and started working as a software developer. I have worked in Python, Django REST, Javascript, NodeJs and React. Django REST ,NodeJs, React Courses are coming soon.

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