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.

Universidad Austral
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Computer Programming, Kubernetes
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Matplotlib, Extract, Transform, Load, Pandas (Python Package), Plot (Graphics), Time Series Analysis and Forecasting, Exploratory Data Analysis, NumPy, Data Visualization, Data Science, Data Analysis, Data Processing, Data Visualization Software, Data Import/Export, Data Manipulation, Graphing, Pivot Tables And Charts, Python Programming, Package and Software Management, File Management
Beginner · Course · 1 - 3 Months

Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Keras (Neural Network Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Presentation, E-Commerce, Analytics, Key Performance Indicators (KPIs), Google Analytics, Web Analytics, Marketing Analytics, Generative AI, Data Analysis, Business Strategy, Data Processing, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Agile Methodology, Scrum (Software Development), Software Testing, Agile Software Development, Embedded Systems, Docker (Software), Git (Version Control System), Linux Administration, System Programming, Linux, C++ (Programming Language), Internet Of Things, File Systems
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts
Intermediate · Guided Project · Less Than 2 Hours