Welcome to the Pandas Full Course by Studyopedia.
Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.
To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.
Features
Analyze Data
Manipulate Data
Columns can be inserted and deleted from DataFrame
Group the rows/ columns of a DataFrame/ Series
Plotting is possible
Read CSV/ JSON
Fix the inaccurate data
Clean the Data completely
Easy to handle the missing data in the form: NaN, NA, or NaT
Course Lessons
Pandas – Introduction & Features
Install & Setup Pandas
Create a Pandas DataFrame (Run first program)
Pandas DataFrames – Attributes & Methods
Join Pandas DataFrame
Concatenate Pandas DataFrames
Create a Pandas Series
Pandas Series – Attributes & Methods
Combine two Pandas series
Categorical Data in Pandas
Working with Categories in Pandas
Read CSV in Pandas
Read Excel in Pandas
Indexing in Pandas
Select multiple columns in Pandas
Add a new column in Pandas
Delete rows/ columns in Pandas
Iterate over rows and columns in Pandas
Sorting in Pandas
Handle Duplicates in Pandas
Clean the Data in Pandas
String Operations in Pandas
Date Time Operations in Pandas
Remove Whitespace in Pandas
Group the Data in Pandas
Statistical Functions in Pandas
Plot a DataFrame in Pandas
Quiz
We have also provided an Online Quiz to polish your Pandas skills after completing the lessons.
100+ live coding examples are covered to make each lesson easier for the students.
Hit the Enroll button!