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: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data-Driven Decision-Making, Vector Databases, NumPy, Data Analysis, Model Evaluation, Machine Learning, Machine Learning Algorithms, Analysis, Linear Algebra, Python Programming, Classification Algorithms, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Beginner · Course · 1 - 4 Weeks

Tableau Learning Partner
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization, Data Preprocessing, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Interactive Data Visualization, Data Management
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Preprocessing, Data Analysis, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory Management System, Logistics, Forecasting, Exploratory Data Analysis, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Correlation Analysis, Transportation Operations, Statistical Analysis, Data Analysis, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Performance Analysis, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Data Transformation, Data Cleansing, Quality Assurance, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scalability, Event-Driven Programming, Functional Design, Application Development, User Flows, Application Design, Computer Programming
Beginner · Course · 1 - 4 Weeks