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.

University of California, Davis
Skills you'll gain: Oral Comprehension, Vocabulary, Grammar, English Language, Language Competency, Literacy, Language Learning, Verbal Communication Skills
Beginner · Specialization · 3 - 6 Months
University of Minnesota
Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Model Evaluation, Machine Learning Algorithms, Algorithms, Business Metrics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science
Beginner · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Beginner · Course · 1 - 3 Months

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: 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

28DIGITAL
Skills you'll gain: Sustainable Business, Corporate Sustainability, Business Transformation, Digital Transformation, Environmental Social And Corporate Governance (ESG), Governance, Innovation, Stakeholder Engagement, Sustainability Reporting, Business Leadership, Business Strategies, Business Modeling, Market Opportunities, Value Propositions
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Algorithms, Technical Communication, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Mathematical Modeling, Applied Mathematics, Computer Science, Performance Tuning
Beginner · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Big Data, Applied Machine Learning, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months