Graph analytics courses can help you learn about network structures, centrality measures, community detection, and graph visualization techniques. You can build skills in analyzing relationships between data points, optimizing algorithms for large datasets, and interpreting complex data patterns. Many courses introduce tools like Neo4j for graph databases, Gephi for visualization, and Python libraries such as NetworkX, which enhance your ability to manipulate and analyze graph data effectively.

University of Colorado Boulder
Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Statistical Analysis, Model Training, Data Analysis, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Statistical Methods, Model Optimization
Intermediate · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Data Processing, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Social Media Management, Social Media Analytics, Customer Engagement, Market Trend, Business, Business Strategy, Customer Insights, Brand Management, Digital Marketing Tools, Strategic Thinking, Web Presence, Strategic Decision-Making, Trend Analysis, Data-Driven Decision-Making, Analytical Skills, Continuous Monitoring
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, Correlation Analysis, R Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Debugging, LLM Application, Data-oriented programming, Code Reusability, Python Programming, Data Manipulation, Data Analysis, Functional Design
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Digital Marketing Tools, Google Ads, Google Analytics, Keyword Research, Digital Marketing, Content Optimization, User Experience
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Entry, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Spreadsheet Software, Data Visualization, Data Visualization Software, Dashboard, Microsoft Office, Case Studies, Data Management, Business Analytics, Exploratory Data Analysis, Productivity Software, Business, Analysis, Data Presentation, Data Analysis, Data Manipulation, Data Literacy
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Brand Awareness, Social Media Analytics, Social Media Marketing, Digital Brand Strategy, Content Development and Management, Target Audience, Social Media, Social Media Campaigns, Brand Management, Brand Strategy, Digital Media Strategy, Branding, Social Media Content, Digital Marketing Campaigns, Content Marketing, Driving engagement, Content Strategy, Social Media Strategy, Target Market, Marketing Communications
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Columbia University
Skills you'll gain: Care Coordination, Care Management, Value-Based Care, Patient-centered Care, Health Informatics, Case Management, Health Technology, Health Care, Patient Communication, Health Systems, Patient Education and Support, Health Information Management, Patient Advocacy, Community Health, Data Sharing, Decision Support Systems, Community and Social Work, Case Studies
Beginner · Course · 1 - 3 Months