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.

Skills you'll gain: ASP.NET, .NET Framework, Restful API, Application Programming Interface (API), API Design, C# (Programming Language), Back-End Web Development, Databases, Data Persistence, Data Validation, Data Mapping, Data Modeling
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Wrangling, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Dashboard, Interactive Data Visualization, Business Intelligence, Data Visualization, Predictive Analytics, Business Intelligence Software, Data Storytelling, Business Analytics, Advanced Analytics, Analytics, Trend Analysis, Data-Driven Decision-Making, Stakeholder Communications, AI Enablement, Real Time Data
Beginner · Course · 1 - 4 Weeks
Scrum Alliance
Skills you'll gain: Meeting Facilitation, Coaching, Agile Product Development, Mentorship, Teaching, Employee Coaching, Agile Project Management, Agile Software Development, Agile Methodology, Team Building, Leadership, Team Performance Management, Team Management, Team Leadership, Organizational Leadership, Business Transformation, Culture Transformation, Employee Training, Leadership and Management, Project Management
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Model Deployment, AI Workflows, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Data Processing, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Management, MLOps (Machine Learning Operations), Data Governance, Model Deployment, AI Workflows, Workflow Management, Google Cloud Platform, Data Preprocessing, Applied Machine Learning, Model Evaluation, Data Pipelines, Cloud Deployment, Machine Learning, Containerization
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Agile Methodology, Agile Software Development, Agile Project Management, Kanban Principles, Agile Product Development, Scrum (Software Development), Lean Methodologies, Sprint Retrospectives, Backlogs, Sprint Planning, Continuous Improvement Process, Stakeholder Engagement, Prioritization
Mixed · Course · 1 - 4 Weeks