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: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Enablement, Strategic Thinking, Technology Roadmaps, AI Workflows, Generative AI, Analysis
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Automation, SAS (Software), Debugging, SQL, Stored Procedure, Data Manipulation, Data Processing, Statistical Programming, Data Management
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability
Intermediate · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Tableau Software, Data Visualization Software, Data Storytelling, Dashboard, Interactive Data Visualization, Spreadsheet Software, Data Visualization, Data Presentation, Data Management, Data Analysis, Microsoft Excel, Data Sharing, Exploratory Data Analysis, Microsoft Office, Microsoft PowerPoint, Productivity Software, Data Preprocessing
Mixed · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, LangChain, Model Deployment, Data Ethics, Data Validation, Software Design Patterns, Data Cleansing, Data Quality, Vector Databases, Image Quality, Data Preprocessing, LLM Application, Embeddings, AI Workflows, Dashboard, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Authentications, Splunk, Role-Based Access Control (RBAC), Data Maintenance, Security Assertion Markup Language (SAML), Interactive Data Visualization, Data Storytelling, Pivot Tables And Charts, Data Presentation, Dashboard, Single Sign-On (SSO), Ad Hoc Reporting, Performance Tuning, Identity and Access Management, Lightweight Directory Access Protocols, Configuration Management, Data Integration, Network Troubleshooting, Data Management, Data Analysis
Beginner · Specialization · 3 - 6 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: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months