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: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Icahn School of Medicine at Mount Sinai
Skills you'll gain: Speech Language Pathology, Patient Evaluation, Patient Treatment, Physiology, Clinical Assessment, Surgery, Anatomy
Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation
Beginner · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Statistical Methods, Statistical Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation
Mixed · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feasibility Studies, Systems Development, Software Development Methodologies, Business Analysis, Software Design, Business Process Modeling, Communication, Data Flow Diagrams (DFDs), Stakeholder Communications, Business Communication, Product Lifecycle Management
Beginner · Course · 1 - 4 Weeks