Python Pandas Full Course (2024)
Learn Pandas with 100+ hands-on live running coding examples and exercises
Pandas,Python Pandas,Data Science,Data Analysis,Python Programming,
Lectures -28
Duration -5.5 hours
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Course Description
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
Hit the Enroll button!
Goals
- Learn Python Pandas from scratch (2024)
- Learn Pandas for Data Science and Data Analysis
- Learn to read CSV and Excel files with ease in Python
- Acquire essential Pandas skills
- Practice your skills with 100+ coding exercises
- Learn Pandas best practices
- Be able to program in Pandas professionally.
- Gain a deep understanding of Python Pandas
Prerequisites
- A computer with an Internet
- Python knowledge
- Passion to learn Pandas
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Curriculum
Check out the detailed breakdown of what’s inside the course
Pandas - Introduction & Setup
3 Lectures
-
Course Intro 00:50 00:50
-
Pandas Introduction & Features 02:52 02:52
-
Pandas - Installation & Setup 12:00 12:00
Pandas - DataFrames
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Series
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Categorical
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Read CSV, Excel
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Indexing and Selecting
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Data Manipulation
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Data Cleaning
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Operations
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Pandas - Plotting
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
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Studyopedia
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