Data Science Methods and Techniques [2026]

Data Science Methods and Techniques [2026]
2026-01-02
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn Data Science Methods and Techniques for Data Analysis and Machine Learning [2026]

What you’ll learn
Knowledge about Data Science methods, techniques, 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

Requirements
Basic knowledge of the Python programming language and preferably the Pandas library
The four ways of counting (+-/)
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection

Description
Who this course is for:
This course is for you, regardless if you are a beginner or an experienced Data Scientist, This course is for you, regardless if you have a Ph.D. or no education or experience at all

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