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.

Coursera
Skills you'll gain: Descriptive Statistics, Descriptive Analytics, Jupyter, Microsoft Azure, Statistical Visualization, Plot (Graphics), Model Training, Data Analysis, Statistics, Exploratory Data Analysis, Data Visualization Software, Correlation Analysis, Applied Machine Learning, Machine Learning Methods
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Kubernetes, Google Cloud Platform, Serverless Computing, Google App Engine, Cloud-Native Computing, Cost Management, Cloud Infrastructure, Cloud Deployment, Cloud Computing Architecture, Cloud Services, Cloud Computing, Infrastructure As A Service (IaaS), Hybrid Cloud Computing, Cloud Management, Data Processing, Data Store, System Monitoring, Application Performance Management, Big Data, Virtual Private Networks (VPN)
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Jupyter, Timelines, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Python Programming, Email Automation, Data Literacy, Data Structures, Data Analysis, Data Manipulation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Income Statement, Business Valuation, Investment Banking, Profit and Loss (P&L) Management, Balance Sheet, Private Equity, Capital Markets, Fundraising, Equities, Underwriting, Financial Modeling, Financial Market, Market Liquidity, Lending and Underwriting, Investments, Securities (Finance), Market Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Meta Ads Manager, Facebook, Target Audience, Target Market, Customer Insights, Social Media Analytics, Online Advertising, Advertising Campaigns, Advertising, Business Metrics, Content Performance Analysis, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis
Build toward a degree
Intermediate · Course · 1 - 4 Weeks