Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Performance Tuning, System Monitoring, System Requirements, Business Reporting, Verification And Validation
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: IntelliJ IDEA, Apache Maven, Integrated Development Environments, Version Control, Unit Testing, Eclipse (Software), Development Environment, Software Development Tools, Debugging, Git (Version Control System), Java, Application Development, Node.JS
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Event-Driven Programming, Server Side, Front-End Web Development, Computer Networking
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Model Evaluation, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Google Cloud Platform, Distributed Computing, Scalability, Data Pipelines, Debugging, Data Validation
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Modeling, User Interface (UI), C# (Programming Language), Microsoft Visual Studio, Application Development, User Interface and User Experience (UI/UX) Design, Data Management, Data Validation, Object Oriented Programming (OOP), Verification And Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Mining, Data Cleansing, Transaction Processing, Predictive Analytics, Customer Analysis, Unsupervised Learning, Data Preprocessing, R Programming, Data Analysis, Market Analysis, Data Wrangling, Data Transformation, Data Manipulation, Interactive Data Visualization, Statistical Visualization, Consumer Behaviour, Performance Tuning, Cross Selling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Integrated Development Environments, Data Flow Diagrams (DFDs)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Performance Tuning, Data Visualization Software, Web Applications, Application Development, R Programming, Dashboard, Exploratory Data Analysis, User Interface (UI), User Interface (UI) Design, Data Import/Export
Mixed · Course · 1 - 4 Weeks