Udemy – Advanced Data Science Methods and Algorithms 2025-7

Advanced Data Science Methods and Algorithms is a course on advanced data science techniques and algorithms for complex data analysis and predictive modeling published by Udemy Online Academy. This course explores advanced data science techniques and algorithms used for complex data analysis and predictive modeling. It covers machine learning algorithms such as gradient boosting, support vector machines (SVM), and ensemble methods, along with deep learning architectures such as convolutional neural networks (CNN) and recurrent neural networks (RNN). Individuals will learn about dimensionality reduction techniques such as PCA and t-SNE, feature engineering, and model optimization strategies.

This course teaches you a useful set of advanced data science methods and algorithms, along with pandas and Python. This course has exclusive content that teaches you new things about the methods and algorithms. The course also includes practical projects covering big data processing, natural language processing (NLP), and time series forecasting using Python libraries such as Scikit-learn, TensorFlow, and PyTorch. With a focus on real-world applications, it equips individuals with the skills needed to develop high-performance models for data-driven decision-making.

What you will learn in Advanced Data Science Methods and Algorithms:

• Knowledge of Advanced Data Science methods, algorithms, theory, best practices and tasks
• Deep practical knowledge of Advanced Data Science and know how to perform data science tasks with confidence
• Advanced ensemble models like XGBoost models for prediction and classification
• Deep and detailed master knowledge of regression, regression analysis, forecasting, classification and supervised learning
• Practical knowledge of Scikit-learn, Matplotlib, Seaborn and some other Python libraries
• Advanced knowledge of A.I. prediction/classification models and automated model building
• Cloud Computing: Use Anaconda Cloud Notebook (cloud-based Jupyter notebook). Learn to use cloud computing resources
• Master the Python 3 programming language for data management
• And…

Course specifications

• Publisher : Udemy
• Teacher : Henrik Johansson
• Language: English
• Level : All Levels
• Lectures : 73
• Duration : 39 hours and 3 minutes

Course topics

Advanced Data Science Methods and Algorithms Prerequisites

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

Pictures

Advanced Data Science Methods and Algorithms introduction video

Installation guide

After Extract, watch with your favorite Player.

subtitle: English

Quality: 720p

The 2025/7 version the duration has increased by 3 hours 31 minutes compared to 2025/1.

Download link

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 2.33 GB

Size

11.33 GB