Social And Emotional Learning Courses

Credential

Python Machine Learning

Master machine learning fundamentals through hands-on Python programming, covering regression, classification, decision trees, and ensemble methods to solve real-world data problems.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Credential

Social Media Content Marketing: Blogs & X (Twitter)

Discover text-focused social media marketing fundamentals for X (Twitter) and blogs, covering compelling content creation, audience engagement, and cross-platform visibility strategies.

• VDCI
• 6 hours
• Self-Paced
• $425.00

Credential

Streaming for Social Media

Discover how to integrate live streaming into your social media strategy using OBS Studio, connecting to Twitch, YouTube, and TikTok for audience growth.

• VDCI
• 6 hours
• Self-Paced
• $325.00

Credential

Social Media Industry & Portfolio

Discover how to leverage social media marketing for career growth, brand research, campaign execution, and strategic networking on platforms like LinkedIn.

• VDCI
• 18 hours
• Self-Paced
• $975.00

Learning Controllers - From Engineering to AGI

1 rating

Exploring deep reinforcement learning for autonomous control systems, from fusion plasma to robotics, with a focus on data-efficient methods for real-world applications.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

The Social and Technical Context of Health Informatics

597 ratings at Coursera

Explore health informatics across patient, provider, and population contexts. Learn to assess health IT problems, understand socio-technical factors, and navigate the complexities of healthcare innovation.

• Coursera
• 9 hours 27 minutes
• Self-Paced
• Paid Course

Credential

Social Media Analytics

19 ratings at Coursera

Master advanced social media analytics skills, from machine learning to network analysis. Gain practical insights to influence consumer behavior and enhance digital marketing strategies.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Foundations for Active Learning in STEM Courses

12 ratings at Coursera

Discover evidence-based active learning strategies, techniques, and practical applications specifically designed for STEM educators to enhance student engagement and outcomes.

• Coursera
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Social Network Analysis

11 ratings at Coursera

Explore social network dynamics through graph theory, centrality measures, and statistical modeling. Gain skills to analyze relationships, identify influencers, and conduct hypothesis testing using R programming tools.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Introduction to Social Computing

Explore social computing's impact on society. Gain skills in social media analytics, responsible AI, and gamification. Apply machine learning to real-world scenarios and understand online behavior dynamics.

• Coursera
• 20 hours 45 minutes
• Self-Paced
• Paid Course

Machine Learning and Emerging Technologies in Cybersecurity

Master machine learning applications in cybersecurity, from neural networks to intrusion detection systems. Gain hands-on experience with RapidMiner and Security Onion while exploring Tor networking and incident response strategies.

• Coursera
• 1 day 15 hours 8 minutes
• Self-Paced
• Paid Course

Reliability, Cloud Computing and Machine Learning

Master advanced distributed databases, transaction management, and cloud computing while exploring machine learning applications using Hadoop, MapReduce, and Accumulo for large-scale data processing and analytics.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course