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Advanced Data Science Methods and Algorithms
Rating: 4.9 out of 5(71 ratings)
2,068 students

Advanced Data Science Methods and Algorithms

Learn Advanced Data Science Methods and Algorithms with Pandas and Python
Created byHenrik Johansson
Last updated 6/2026
English

What you'll learn

  • Knowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasks
  • Deep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidence
  • Advanced ensemble models such as the XGBoost models for prediction and classification
  • Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning
  • Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries
  • Advanced knowledge of A.I. prediction/classification models and automatic model creation
  • Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
  • Master the Python 3 programming language for Data Handling
  • Master Pandas 2 and 3 for Advanced Data Handling

Course content

5 sections • 75 lectures • 40h 37m total length

  • Introduction24:30

    Course introduction

  • Setup of the Anaconda Cloud Notebook20:47

    This video describes the setup procedures to use Anaconda Cloud Notebook

    Using Anaconda Cloud Notebook requires internet access


    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

  • The four ways of counting (+-*/)
  • Some Experience with Data Science, Data Analysis, or Machine Learning
  • 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 Advanced Data Science Methods and Algorithms with Pandas and Python!

Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Algorithms to develop and optimize all aspects of our lives, businesses, societies, governments, and states.

This course will teach you a useful selection of Advanced Data Science methods and algorithms plus Pandas and Python. This course has exclusive content that will teach you many new things about methods and algorithms.


This is a four-in-one master class video course which will teach you to advanced Regression, Prediction, Classification, Supervised Learning, Python 3, Pandas 2 + 3, and advanced Data Handling.

You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.

You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.

You will learn to master the Python 3 programming language, which is one of the most popular and useful programming languages in the world, and you will learn to use it for Data Handling.

You will learn to master the Pandas 2 and future 3 library and to use Pandas powerful Data Handling techniques for advanced 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, and combined creates the world’s most powerful coding environment for Advanced Data Handling…


You will learn

  • Knowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasks

  • Deep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidence

  • Advanced ensemble models such as the XGBoost models for prediction and classification

  • Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning

  • Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries

  • Advanced knowledge of A.I. prediction/classification models and automatic model creation

  • 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

  • Master the Python 3 programming language for Data Handling

  • Master Pandas 2 and 3 for Advanced Data Handling

  • And much more…


This course includes

  • a comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, or Python

  • an easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this course

  • an easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding task

  • a large collection of unique content, and this course will teach you many new things that only can be learned from this course on Udemy

  • A compact course structure built on a proven and professional framework for learning.


This course is an excellent way to learn advanced Regression, Prediction, Classification, Python, Pandas and Data Handling! These are the most important and useful tools for modeling, AI, and forecasting. Data Handling is the process of making data useful and usable for regression, prediction, 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.


Is this course for you?

This course is an excellent choice for

  • Anyone who wants to learn Advanced Data Science Methods and Algorithms

  • Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!

  • Anyone who wants to master Pandas for Data Handling!

  • Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!

  • Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!

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 Advanced Regression, Prediction, Python, Pandas, and Data Handling.


Course requirements

  • The four ways of counting (+-*/)

  • Some Experience with Data Science, Data Analysis, or Machine Learning

  • 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


Enroll now to receive 35+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!

Who this course is for:

  • Anyone who wants to learn Advanced Data Science Methods and Algorithms
  • Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!
  • Anyone who wants to master Pandas for Data Handling!
  • Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!
  • Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!

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