Complete Data Science and Machine Learning Bundle

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

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

Key Features of the Bundle

• Lifetime access to all included courses.
• Recognised qualification upon completing each course.
• Flexible self-paced online learning, study anytime, anywhere.
• Learn using your PC, laptop, tablet, or smartphone—perfect for learning on the go.
• Dedicated online tutor support to guide your data science 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) with Python 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 Bundle

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 bundle 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 study at your own pace.

Disclaimer

The Complete Data Science and Machine Learning Bundle is an online course consisting of 20 separate courses covering topics such as 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 Bundle?

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