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Curious about how machine learning works—but don’t have a programming background? This beginner-friendly online course is designed just for you.

💡 Learn the fundamentals of machine learning models and AI applications using RapidMiner—no coding required.

By the end of this course, you’ll be able to:

✅ Understand key ML concepts and use cases

✅ Explore models like regression, decision trees, KNN, Naïve Bayes, clustering, and neural networks

✅ Apply ML techniques to real-world data

Want to learn how maps, satellites, and spatial data shape the world we live in?

This free online course from LBSocial teaches you how to collect, manage, analyze, and visualize spatial data using modern Geographic Information Systems (GIS). Whether you're exploring aerial imagery, census data, or GPS tracks—this course will equip you with practical GIS skills using ArcGIS Pro and ArcGIS Online.

🔍 You’ll learn to:

• Understand key GIS concepts and real-world use cases

• Work with various spatial data types: aerial photos, LiDAR, GPS, census TIGER data, and more

• Analyze spatial data using professional GIS software

Looking to turn data into insight? This free online course introduces the essential principles of data visualization and teaches you how to create impactful, interactive dashboards using Tableau and other tools.

✅ Everyone who completes the program earns a digital badge!

You'll learn to:

• Visualize numerical, categorical, spatial, 3D, and social network data

• Apply effective design principles to your charts and dashboards

• Understand the ethical and legal aspects of data presentation

Ready to master databases and data collection? Join our free online course to gain practical skills in relational databases, NoSQL, cloud data lakes, web crawling, APIs, and more.

🔹 Course highlights:

• SQL & NoSQL database design

• AWS RDS, MongoDB Atlas, S3 cloud storage

• Python for data queries and visualization

• Ethical data practices and privacy guidelines

LBSocial’s Introduction to Python Programming course is the perfect starting point for anyone ready to build essential programming skills for the data-driven world. No prior experience needed.

🎯 By the end of this course, you’ll be able to:

• Use Python to solve real-world problems

• Understand data types, flow control, functions, and OOP basics

• Debug and write clean code

• Calculate basic statistics and visualize data with Python plots

Looking to build hands-on experience in big data analysis and visualization with Amazon Web Services (AWS)?

Join the Big Data Analytics Short Course on LBSocial — a free, self-paced online course that equips you with in-demand skills using real AWS services, including:

✅ Amazon EC2, VPC, and S3

✅ Amazon RDS, Redshift, and EMR

✅ Amazon QuickSight for data visualization

💡 No coding required. Learn by doing, and reinforce your skills with overlapping labs from our Cloud Computing Hands-on Labs series.

Want to build fundamental AWS skills without needing a technical background? Our Cloud Computing Hands-on Labs course is designed for non-technical learners to explore core AWS services through guided, hands-on exercises—no programming required.

🔍 What you’ll learn:

✅ Key concepts of cloud computing

✅ Core AWS tools: EC2, S3, RDS, Lambda, and more

✅ Topics in networking, storage, data analytics, AI, and serverless computing

🎓 Complete all 12 steps and earn a digital badge to showcase your achievement.

We recently discovered that unauthorized individuals have republished LBSocial video tutorials on a commercial learning platform, falsely using our content, brand, and even claiming to be instructors affiliated with LBSocial — all without permission.

This is a serious violation of copyright law, professional ethics, and identity integrity.

🔍 To clarify for our community:

✅ Full tutorials are available only on:   

 🌐 www.LBSocial.net    

📺 Our official YouTube Channel

Explore how cloud computing and Generative AI are transforming the way we analyze social data. This comprehensive textbook is your hands-on guide to mastering cutting-edge tools for collecting, storing, querying, and visualizing data in the cloud.

🌟 Highlights:

• Full AI-powered data analytics pipeline—from Python scripting to interactive dashboards

• Practical exercises using real-world datasets

• Case studies in GIS, Urban Informatics, Social Science, and Data Science
  

Whether you're teaching, learning, or working with data, this book provides the foundation and future of analytics in the AI era.