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AI, Machine Learning & Data ScienceUdemy2024-11 Edition100% Free Video Course

2025 Machine Learning & Data Science for Beginners in Python

2025 Machine Learning & Data Science for Beginners in Python is a machine learning and data science training course published by Udemy Online Academy. 2025 Machine Learning & Data Science for Beginners in Python is the ultimate beginner’s course designed to introduce people to the exciting fields of machine learning and data science. This course provides a hands-on introduction to the core concepts, tools, and techniques used in Python to analyze data and build predictive models. The course emphasizes practical implementation, covering topics such as data preprocessing, exploratory data analysis, supervised and unsupervised learning, and essential Python libraries such as NumPy, pandas, and scikit-learn.The key points of this course include understanding the principles of machine learning and data science, learning preprocessing and data analysis techniques, using Python libraries such as NumPy, pandas, and scikit-learn, implementing supervised and unsupervised learning models. , and work on hands-on projects with global datasets to build practical expertise. Learners will work on real-world datasets and projects and gain skills to solve real-life problems with machine learning and data-driven methods. Ideal for beginners, this course lays a solid foundation for advanced study or professional application in data science and artificial intelligence.

275 Video Lessons
93.3 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
2025 Machine Learning & Data Science for Beginners in Python
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Course Features:
93.3 hours on-demand video
275 complete lectures
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Basic machine learning concepts and techniques, including supervised and unsupervised learning
Techniques for building and evaluating machine learning models
Different types of model evaluation criteria, such as accuracy, precision, and recall, and how to interpret them
Understand the trade-offs between different machine learning algorithms and their advantages and disadvantages
Understand best practices for developing, implementing, and interpreting machine learning models
Ability to analyze, interpret and present the results of machine learning models
and….

Course Curriculum275 Lectures

22 sections • 93.3 hours total length

Prefer offline learning? Download all 275 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

2025 Machine Learning & Data Science for Beginners in Python is a machine learning and data science training course published by Udemy Online Academy. 2025 Machine Learning & Data Science for Beginners in Python is the ultimate beginner’s course designed to introduce people to the exciting fields of machine learning and data science. This course provides a hands-on introduction to the core concepts, tools, and techniques used in Python to analyze data and build predictive models. The course emphasizes practical implementation, covering topics such as data preprocessing, exploratory data analysis, supervised and unsupervised learning, and essential Python libraries such as NumPy, pandas, and scikit-learn.The key points of this course include understanding the principles of machine learning and data science, learning preprocessing and data analysis techniques, using Python libraries such as NumPy, pandas, and scikit-learn, implementing supervised and unsupervised learning models. , and work on hands-on projects with global datasets to build practical expertise. Learners will work on real-world datasets and projects and gain skills to solve real-life problems with machine learning and data-driven methods. Ideal for beginners, this course lays a solid foundation for advanced study or professional application in data science and artificial intelligence.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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