Java Data Structures courses can help you learn about arrays, linked lists, stacks, queues, and hash tables. You can build skills in algorithm efficiency, data manipulation, and implementing search and sort techniques. Many courses introduce tools like Eclipse or IntelliJ IDEA, which support coding practices and debugging, allowing you to apply your knowledge in real coding environments. You'll also explore concepts such as recursion and tree structures, enhancing your ability to tackle complex programming challenges.

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Data Lakes, Data Import/Export, PySpark, Tensorflow, Data Governance, Apache Spark, Dashboard, Data Warehousing, Extract, Transform, Load, Unstructured Data, Operational Databases, Data Integration, Big Data, Metadata Management, Feature Engineering
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Big Data, Google Cloud Platform, Analytics, Data Analysis, SQL, Query Languages
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Data Infrastructure, Cloud Security, Cloud Computing, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Interoperability, File I/O, Data Transformation
Intermediate · Specialization · 3 - 6 Months
University of Toronto
Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export
Beginner · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Dataflow, Data Import/Export, Data Pipelines, Feature Engineering, Data Lakes, Real Time Data, Data Governance, Applied Machine Learning, Apache Kafka, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Data Migration, MLOps (Machine Learning Operations)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation
Intermediate · Course · 1 - 3 Months