Data Science Methods and Algorithms [2025]

Data Science Methods and Algorithms [2025]

Learn Data Science Methods and Algorithms with Pandas and Python [2025]

What you'll learn

• Knowledge about Data Science methods, algorithms, theory, best practices, and tasks
• Deep hands-on knowledge of Data Science and know how to handle common Data Science tasks with confidence
• Detailed and deep Master knowledge of Regression, Prediction, Classification, Supervised Learning, Cluster Analysis, and Unsupervised Learning
• Hands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python libraries
• Advanced knowledge of A.I. prediction 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)
• Master the Python 3 programming language for Data Handling
• Master Pandas 2 and 3 for Advanced Data Handling

Welcome to the course 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 large selection of Data Science methods and algorithms, which will give you an excellent foundation for Data Science jobs and studies. 

This course has exclusive content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist.

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

You will learn to master Regression, Regression analysis, Prediction and supervised learning. 

This course has the most complete and fundamental master-level regression content packages on Udemy, with hands-on, useful practical theory, and also automatic Machine Learning algorithms for model building, feature selection, and artificial intelligence. 

You will learn about models ranging from linear regression models to advanced multivariate polynomial regression models.

You will learn to master Classification and supervised learning. 

You will learn about the classification process, classification theory, and visualizations as well as some useful classifier models, including the very powerful Random Forest Classifiers Ensembles and Voting Classifier Ensembles.

You will learn to master Cluster Analysis and unsupervised learning. 

This part of the course is about unsupervised learning, cluster theory, artificial intelligence, explorative data analysis, and some useful Machine Learning clustering algorithms ranging from hierarchical cluster models to density-based cluster models.

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 Data Handling and Advanced Data Handling…