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: Core Data (Software), Restful API, Apple iOS, JSON, Swift Programming, Application Programming Interface (API), Mobile Development, Application Development, Data Persistence, Data Modeling, Authentications, Network Protocols
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
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

Codio
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
Mixed · Course · 1 - 3 Months

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

Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Integration, File Management, Scalability, Data Processing, Context Management, Java, Data Transformation, Maintainability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Data Quality, Responsible AI, Data Cleansing, Generative AI, Data Preprocessing, Data Validation, Automation, Data Transformation, Tensorflow, OpenAI, Artificial Intelligence, Alteryx
Intermediate · Course · 1 - 3 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

Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
Advanced · Course · 1 - 4 Weeks