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.

Johns Hopkins University
Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Pivot Tables And Charts, Advanced Analytics, Descriptive Statistics, Microsoft Excel, Descriptive Analytics, Data Import/Export, Spreadsheet Software, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Statistics, Data Analysis, Statistical Methods, Small Data, Data Wrangling, Data Transformation
Beginner · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Data Modeling, Big Data, Data Management, Database Management Systems, Real Time Data, NoSQL, Database Design, Data Processing, Apache Hadoop, Data Structures, Scalability, Virtual Environment
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Quality, Data Management, Quality Assurance, Stored Procedure, Data Cleansing, Data Integrity, Quality Improvement, Quality Assessment, Data Validation, Data Pipelines, Key Performance Indicators (KPIs), SQL, Data Processing, Extract, Transform, Load, Performance Analysis, Anomaly Detection, Continuous Monitoring, Automation, Root Cause Analysis, Trend Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Team Management, Governance
Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: NoSQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Generative AI, Convolutional Neural Networks, Transfer Learning, Data Infrastructure, Data Cleansing, Apache Kafka, Real Time Data, Data Management, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Presentation, Data Visualization Software, Data Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Integrity, Model Evaluation, Data Access, Statistical Analysis, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks