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: Dashboard, Data Visualization Software, Tableau Software, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Data Analysis, Statistical Visualization, Geospatial Mapping, Histogram, Advanced Analytics, Spatial Analysis, Scatter Plots, Data Science, Data Manipulation, Business Analytics, Marketing Analytics, Analytics, Forecasting
★ 4.5 (11) · Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Statistical Modeling, Statistical Hypothesis Testing
★ 4.2 (11) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, System Monitoring, Web Analytics, Exploratory Data Analysis, Data Visualization Software, Trend Analysis, Data Analysis, Automation, Business Intelligence, Data Wrangling, Retail Sales, Scripting, Devops Tools, Python Programming, Data Science
★ 4.8 (13) · Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Database Design, Extensible Markup Language (XML), Databases, JSON, Data Processing, Data Warehousing, Distributed Computing, Data Analysis, Scalability, Case Studies, Analytics, Data Pipelines, Query Languages, Social Media, Data Cleansing, Data Integration, Social Media Content
Intermediate · Specialization · 3 - 6 Months

★ 4.6 (10K) · Beginner · Course · 1 - 4 Weeks

★ 4.8 (20K) · Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB
★ 4.5 (14K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Cloud Services, Cloud Computing, Big Data, Analytics, Cloud Platforms, Dataflow, Data Processing, Cloud Storage, Data Lakes, Cloud Infrastructure, Public Cloud, Microsoft Azure, Data Pipelines, Tensorflow, Real Time Data, Amazon Web Services, Artificial Intelligence, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Data Science, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management
★ 4.8 (1.4K) · Advanced · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming
★ 4.1 (298) · Intermediate · Course · 1 - 4 Weeks