Complete Machine Learning & Data Science Program

The Complete Machine Learning & Data Science Program is a comprehensive collection of 20 expertly curated online courses designed to take you from a beginner to a skilled data scientist and machine learning practitioner. Covering Python, R, SQL, machine learning, deep learning, natural language processing (NLP), cloud AI tools, and data visualization, this program is perfect for aspiring data scientists, analysts, AI enthusiasts, and professionals looking to gain practical, industry-ready skills and build real-world projects.

LIBM has carefully selected these courses to provide up-to-date, hands-on, and industry-relevant knowledge. Enroll today to unlock your data science and machine learning potential, master the tools used by professionals, and work on projects that showcase your expertise.

Key Features of the Program

• Lifetime access to all included courses.
• Recognised qualification upon completing each course.
• Flexible self-paced online learning, accessible anytime, anywhere.
• Study on your PC, laptop, tablet, or smartphone—perfect for learning on the go.
• Dedicated online tutor support to guide your learning journey.
• Hands-on projects and practical exercises to apply what you learn.

What You’ll Learn

• Programming for data science: Python, R, and JavaScript.
• Machine learning fundamentals: supervised & unsupervised learning, predictive models, and AI applications.
• Deep learning & neural networks using Python & Keras.
• Natural language processing (NLP) for AI-based applications.
• Data manipulation and analysis using NumPy, Pandas, and SQL.
• Cloud-based machine learning with AWS Sagemaker Canvas and Azure Machine Learning.
• Real-world machine learning projects: COVID Mask Detector, Auto Image Captioning, Predictive Maps.
• Spatial data visualization and predictive mapping using Python & Leaflet.
• Statistical and probability foundations for data science.

Courses Included in This Program

1. Machine Learning Basics
2. Statistics & Probability for Data Science & Machine Learning
3. Complete Python Machine Learning & Data Science Fundamentals
4. Python for Machine Learning: The Complete Beginners Course
5. Data Manipulation in Python: Master Python, NumPy & Pandas
6. R Programming for Data Science
7. Learn MySQL from Scratch for Data Science and Analytics
8. SQL for Data Science, Data Analytics & Data Visualization
9. Learn Python, JavaScript, and Microsoft SQL for Data Science
10. SAS Programming: Basic to Advanced
11. Machine Learning for Apps
12. Machine Learning Model Using AWS Sagemaker Canvas
13. Azure Machine Learning
14. Machine Learning Use in Flutter: The Complete Guide
15. Deep Learning & Neural Networks with Python & Keras
16. Up AI: Natural Language Processing (NLP) with Python
17. Hands-On Machine Learning Project: COVID Mask Detector
18. Hands-On Machine Learning Project: Auto Image Captioning for Social Media
19. Machine Learning for Predictive Maps in Python & Leaflet
20. Spatial Data Visualization & Machine Learning in Python

Entry Requirements

This program is open to everyone, whether you are a beginner or have some prior experience in programming or data analysis. All course materials are pre-recorded online lessons, accessible on any device with an internet connection, giving you the freedom to learn at your own pace.

Disclaimer

The Complete Machine Learning & Data Science Program is an online program that includes 20 separate courses covering Python, R, SQL, machine learning, deep learning, NLP, and data visualization. All lessons are pre-recorded and can be accessed online anytime from any device. You will receive your login details by email within 24 to 48 hours (usually sooner). No live classes are included.

Why Choose This Program?

Whether you want to start a career in data science, AI, or analytics, or advance your existing skills, this program provides everything you need in one complete package. With lifetime access, hands-on projects, and recognized certificates, you can confidently learn the latest data science techniques, build real-world applications, and pursue a successful career in tech.