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.

The University of Edinburgh
Skills you'll gain: Physics, Mechanics, Experimentation, Scientific Methods, Science and Research, Physical Science, Mathematical Modeling, electromagnetics, General Science and Research, Applied Mathematics
★ 4.8 (26) · Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Physics, Applied Mathematics, Advanced Mathematics, Physical Science, Calculus, Linear Algebra, Integral Calculus, Problem Solving
★ 4.9 (7) · Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation
★ 4 (8) · Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Mechanics, Differential Equations, Mathematical Modeling, Advanced Mathematics, Control Systems, Linear Algebra, Trigonometry, Applied Mathematics, Physics, Calculus
★ 4.6 (12) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Digital Transformation, Google Cloud Platform, Google Workspace, Business Transformation, Collaborative Software, Cloud Management, Cost Management, Business Technologies, Cloud Solutions, Cloud Platforms, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Cloud Infrastructure, Cloud Computing, IT Infrastructure, Productivity Software, Machine Learning Methods, Applied Machine Learning, Data Storage
★ 4.6 (46) · Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Literacy, Project Design, Data Strategy, Data Management, Business Analytics, Performance Metric, Descriptive Statistics, Machine Learning, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis
★ 4.6 (27) · Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Data Processing, Keras (Neural Network Library), Machine Learning Methods, Data Modeling, Machine Learning, Python Programming, Statistical Methods
★ 4.4 (37) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning
★ 4.7 (38) · Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Descriptive Statistics, Descriptive Analytics, Jupyter, Microsoft Azure, Statistical Visualization, Plot (Graphics), Model Training, Data Analysis, Statistics, Exploratory Data Analysis, Data Visualization Software, Correlation Analysis, Applied Machine Learning, Machine Learning Methods
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Lakes, Data Governance, Data Warehousing, Data Infrastructure, Data Architecture, Google Cloud Platform, Data Management, Advanced Analytics, Data Security, Data Integration, Data Storage Technologies, Analytics, Data Pipelines, Cloud Computing, Cloud Computing Architecture, Applied Machine Learning
★ 4.3 (48) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Model Training, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Predictive Modeling, Spatial Data Analysis, Machine Learning, Data Preprocessing, Python Programming
★ 4.6 (59) · Intermediate · Guided Project · Less Than 2 Hours