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Complete Pandas 2023 for Absolute Beginners

person icon Hassan Shoayb


Complete Pandas 2023 for Absolute Beginners

Learn how to use the powerful Python pandas library to analyze and manipulate data.

updated on icon Updated on Jun, 2024

language icon Language - English

person icon Hassan Shoayb

English [CC]

category icon Python,Coding,Programming Languages,Data & Analytics,Data Analysis,

Lectures -8

Duration -59 mins



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Course Description

This course is designed for individuals with little or no experience with the Pandas library for Python. Pandas is a powerful and flexible open-source data analysis and manipulation tool that is widely used in data science and data analysis. This course will provide a comprehensive introduction to the library, starting with basic concepts and gradually building up to more advanced topics.

The course will begin by introducing the basics of Pandas, including its data structures (Series and DataFrames) and the various ways to import and export data. You will learn how to perform basic data cleaning and preprocessing tasks, including handling missing values, renaming columns, and filtering and sorting data. You will also learn how to use Pandas to perform basic statistical operations and data visualization.

As the course progresses, you will dive deeper into more advanced topics, such as merging and joining data, groupby operations, and advanced indexing techniques. You will also learn how to use Pandas to work with time series data, including how to handle and manipulate date and time data.

Throughout the course, you will work with real-world data sets, giving you hands-on experience with the tools and techniques covered. You will also complete a number of practical exercises and projects, allowing you to apply what you've learned to real-world problems.

By the end of this course, you will have a solid understanding of the Pandas library and be able to use it confidently to perform data analysis and manipulation tasks. Whether you're a beginner looking to start a career in data science or an experienced data analyst looking to improve your skills, this course is the perfect starting point.

Prerequisites: This course is designed for absolute beginners, and it will be helpful if you have basic knowledge of Python programming.

Course Outline:

  1. Introduction to Pandas

  2. Pandas Dataframes and Series

  3. Indexes in Pandas

  4. Conditional Filtering in Pandas 

  5. Update Rows and Columns in Pandas 

  6. Add/Remove Columns of Data

  7. Master Data Sorting in Pandas

  8. Clean & Save DataFrames

By the end of this course, you will be able to:

  • Understand the basics of the Pandas library and its data structures

  • Import and export data using Pandas

  • Perform basic data cleaning and preprocessing tasks

  • Use Pandas to perform basic statistical operations and data visualization

  • Merge and join data using Pandas

  • Use the group by function in Pandas

  • Apply advanced indexing techniques in Pandas

  • Work with time series data using Pandas

  • Apply your knowledge to real-world projects


  • Perform a multitude of data operations in Python's popular pandas library including grouping, pivoting, joining and more!
  • Group, aggregate and summarise your data.
  • Learn everything there is to know about pandas - from absolute scratch!
  • Gain a deep and hands-on understanding of pandas data structures.
  • Practice reading data from the web, pickles, Excel files right within pandas.


  • No prior knowledge of pandas is required.
  • Basic knowledge of Python
  • Access to a computer with an internet connection.
Complete Pandas 2023 for Absolute Beginners


Check out the detailed breakdown of what’s inside the course

1 Lectures
  • play icon Introduction to Pandas 11:12 11:12
Dataframes and Series
1 Lectures
Indexes in Pandas
1 Lectures
Conditional Filtering in Pandas
1 Lectures
Update Rows and Columns in Pandas
1 Lectures
Add/Remove Rows and Columns From Pandas DataFrames
1 Lectures
Data Sorting in Pandas
1 Lectures
Cleaning & Saving Pandas DataFrames
1 Lectures

Instructor Details

Hassan Shoayb

Hassan Shoayb

Hassan Shoayb is a Data Scientist who is super passionate about Artificial Intelligence with comprehensive knowledge of machine learning concepts and other related technologies. He is also an open-source enthusiast and a Tech Content Creator who has a background in Computer Science and Engineering. Highly experienced in writing codes and Algorithms, and delivering valuable data products that can solve actual problems.

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Charles Ndung'u Karinga

a good guide

Getnet Demil Jenberia

Getnet Demil Jenberia

was really cool


Bhagvat Bapu Bhosale

Excellent Explaining all the steps in short way.


Bradley Browne

A great Introduction to Pandas and to Jupyter Notebooks. Thank you Hassan.


Ibikunle gabriel

Great courses Carefully planned.





Amit Singh Chauhan


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