Python Pandas Full Course (2024)

Learn Pandas with 100+ hands-on live running coding examples and exercises

What you'll learn

Learn Pandas from scratch (2024)

Learn Pandas for Data Science and Data Analysis

Acquire essential Pandas skills

Practice your skills with 100+ coding exercises

Learn Pandas best practices

Be able to program in Pandas professionally.

Learn to read CSV and Excel files with ease in Python

Requirements

A computer with an Internet

Python knowledge

Passion to learn Pandas

Description

Welcome to the Pandas Course for Beginners 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.FeaturesAnalyze DataManipulate DataColumns can be inserted and deleted from DataFrameGroup the rows/ columns of a DataFrame/ SeriesPlotting is possibleRead CSV/ JSONFix the inaccurate dataClean the Data completelyEasy to handle the missing data in the form: NaN, NA, or NaTCourse Lessons1. Pandas – Introduction & Features2. Install & Setup Pandas3. Create a Pandas DataFrame (Run first program)4. Pandas DataFrames – Attributes & Methods5. Join Pandas DataFrame6. Concatenate Pandas DataFrames7. Create a Pandas Series8. Pandas Series – Attributes & Methods9. Combine two Pandas series10. Categorical Data in Pandas11. Working with Categories in Pandas12. Read CSV in Pandas13. Read Excel in Pandas14. Indexing in Pandas15. Select multiple columns in Pandas16. Add a new column in Pandas17. Delete rows/ columns in Pandas18. Iterate over rows and columns in Pandas19. Sorting in Pandas20. Handle Duplicates in Pandas21. Clean the Data in Pandas22. String Operations in Pandas23. Date Time Operations in Pandas24. Remove Whitespace in Pandas25. Group the Data in Pandas26. Statistical Functions in Pandas27. Plot a DataFrame in PandasHit the Enroll button!

Overview

Section 1: Pandas - Introduction & Setup

Lecture 1 Pandas Introduction & Features

Lecture 2 Pandas Installation & Setup

Section 2: Pandas - DataFrames

Lecture 3 Create a DataFrame (Run First Pandas Program)

Lecture 4 DataFrame - Attributes and Methods

Lecture 5 Join DataFrames

Lecture 6 Concatenate DataFrames

Section 3: Pandas - Series

Lecture 7 Create a Series

Lecture 8 Series - Attributes and Methods

Lecture 9 Combine two Series

Section 4: Pandas - Categorical

Lecture 10 Categorical Data

Lecture 11 Working with Categories

Section 5: Pandas - Read CSV, Excel

Lecture 12 Read CSV

Lecture 13 Read Excel

Section 6: Pandas - Indexing and Selecting

Lecture 14 Indexing

Lecture 15 Select multiple columns

Section 7: Pandas - Data Manipulation

Lecture 16 Add a new column

Lecture 17 Delete rows/ columns

Lecture 18 Iterate over rows and columns

Lecture 19 Sorting

Section 8: Pandas - Data Cleaning

Lecture 20 Handle Duplicates

Lecture 21 Clean the Data

Section 9: Pandas - Operations

Lecture 22 String Operations

Lecture 23 Date Time Operations

Lecture 24 Remove Whitespace & special characters

Lecture 25 Group the Data

Lecture 26 Statistical Functions

Section 10: Pandas - Plotting

Lecture 27 Plotting in Pandas

Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises,Gain a deep understanding of Python Pandas,Python Libraries Beginners,Get started with Pandas,Learn all the topics in Pandas