Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Master Classification with Pandas and Python [2026]
Rating: 5.0 out of 5(58 ratings)
1,195 students

Master Classification with Pandas and Python [2026]

Learn to Master Classification with Pandas and Python for Data Science and Machine Learning [2026]
Created byHenrik Johansson
Last updated 6/2026
English

What you'll learn

  • Master Classification both in theory and practice
  • Master Classification models from Logistic Regression, and XGBoost Classifier to the Gaussian Naïve Bayes Classifier model
  • Use practical classification hands-on theory and learn to execute advanced Classification tasks with ease
  • Use advanced Decision Tree, Random Forest, and Voting Classifier models
  • Use Feedforward Multilayer Networks and Advanced Classifier model Structures
  • Use effective decision surfaces graphs and other tools to judge Classifier performance
  • Use the Scikit-learn library for Classification supported by Matplotlib, Seaborn, Pandas, and Python
  • Master Python 3 programming with Python’s native data structures, data transformers, functions, object orientation, and logic
  • Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling
  • Use Python’s advanced object-oriented programming and make your own custom objects, functions and how to generalize functions
  • Manipulate data and use advanced multi-dimensional uneven data structures
  • Master the Pandas 2 and 3 library for Advanced Data Handling
  • Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, and selecting Data from a Pandas DataFrame
  • Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods
  • Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data
  • Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data
  • Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
  • Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
  • Option: To use the Anaconda Distribution (for Windows, Mac, Linux)

Course content

5 sections • 73 lectures • 39h 18m total length

  • Introduction16:48

    This video provides an overview of the course contents, a description of the course, a presentation of the instructor, and background information about the course

  • Setup of the Anaconda Cloud Notebook20:47

    This video describes the setup procedures for using the Anaconda Cloud Notebook

    Using Anaconda Cloud Notebook requires internet access and an email address


    Note: Anaconda often updates its resources and user interface plus utilizes anti-drone technology. This may cause minor deviations from graphics and procedures in the video

  • Download and installation of the Anaconda Distribution (optional)20:39

    This video describes the procedures to download and install the Anaconda Distribution for use with this course

    Download requires internet access

    Video is optional


    Note: Anaconda often updates its resources and this may cause minor differences in graphics and procedures

  • The Conda Package Management System (optional)46:52

    This video describes the Conda Package Management System

    Conda requires internet access

    Video is optional


    Note: Conda is a speedily developing environment and this may cause minor differences in graphics and procedures

Requirements

  • Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
  • Access to a computer with an internet connection
  • Programming experience is not needed and you will be taught everything you need
  • The course only uses costless software
  • Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included

Description

Welcome to the course Master Classification with Pandas and Python!

This three-in-one master class video course will teach you to master Classification, Python 3, Pandas 2 + 3, and advanced Data Handling.

You will learn to master Classification with a number of advanced Classification techniques such as the XGBoost Classifier. You will learn to handle advanced model structures such as feedforward artificial neural networks for classification tasks.

Python 3 is one of the most popular and useful programming languages in the world, and Pandas 2 and future version 3 is the most powerful, efficient, and useful Data Handling library in existence.

You will learn to master Python's native building blocks and powerful object-oriented programming. You will design your own advanced constructions of Python’s building blocks and execute detailed Data Handling tasks with Python.

You will learn to master the Pandas library and to use its powerful Data Handling techniques for advanced Data Science and Machine Learning Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language.


You will learn to:

  • Master Classification both in theory and practice

  • Master Classification models from Logistic Regression, and XGBoost Classifier to the Gaussian Naïve Bayes Classifier model

  • Use practical classification hands-on theory and learn to execute advanced Classification tasks with ease

  • Use advanced Decision Tree, Random Forest, and Voting Classifier models

  • Use Feedforward Multilayer Networks and Advanced Classifier model Structures

  • Use effective decision surfaces and other tools to judge Classifier performance

  • Use the Scikit-learn library for Classification supported by Matplotlib, Seaborn, Pandas, and Python

  • Master Python 3 programming with Python’s native data structures, data transformers, functions, object orientation, and logic

  • Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling

  • Use Python’s advanced object-oriented programming and make your own custom objects, functions and how to generalize functions

  • Manipulate data and use advanced multi-dimensional uneven data structures

  • Master the Pandas 2 and 3 library for Advanced Data Handling

  • Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas DataFrame object

  • Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods

  • Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data

  • Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data

  • Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn

  • Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources.

  • Option: To use the Anaconda Distribution (for Windows, Mac, Linux)

  • Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages – golden nuggets to improve your quality of work life.

  • And much more…


This course is an excellent way to learn to master Classification, Python, Pandas and Data Handling!

Classification and Supervised Learning are one of the most important and common tasks Data Science, Machine Learning, modeling, and AI. Data Handling is the process of making data useful and usable for inter alia classification and data analysis.

Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks. Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.


This course is designed for everyone who wants to

  • learn to master Classification

  • learn to Master Python 3 from scratch or the beginner level

  • learn to Master Python 3 and knows another programming language

  • reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning

  • learn to Master the Pandas library

  • learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career

  • learn advanced Data Handling and improve their capabilities and productivity


Requirements:

  • Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended

  • Access to a computer with an internet connection

  • Programming experience is not needed and you will be taught everything you need

  • The course only uses costless software

  • Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included


This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Classification, Python, Pandas, and Data Handling.

Enroll now to receive 25+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!


Who this course is for:

  • Everyone who wants to learn to master Classification
  • Everyone who wants to learn to Master Python 3 from scratch or the beginner level
  • Everyone who wants to learn to Master Python 3 and knows another programming language
  • Everyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
  • Everyone who wants to learn to Master the Pandas library
  • Everyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
  • Everyone who wants to learn advanced Data Handling and improve their capabilities and productivity

Report abuse