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.

Arizona State University
Skills you'll gain: Entrepreneurship, Commercialization, Design Thinking, Innovation, Presentations, Market Opportunities, Ideation, Product Development, Solution Design, Customer Insights
Beginner · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Google Cloud Platform, Model Deployment, Computer Vision, Data Preprocessing, Applied Machine Learning, Data Collection, Software Visualization
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Predictive Analytics, Descriptive Statistics, Business Analytics, Statistical Modeling, Predictive Modeling, Forecasting, Advanced Analytics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Quality, Data Analysis, Natural Language Processing, Classification Algorithms
Intermediate · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Teradata SQL, Exploratory Data Analysis, SQL, Data Modeling, Database Design, Database Administration, Database Architecture and Administration, Database Management, Database Management Systems, Data Store, JSON, Data Integration, Data Architecture, Advanced Analytics, Data Warehousing, Data Cleansing, Text Mining, Data Analysis, Business Intelligence, Data-Driven Decision-Making
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Customer Analysis, Data Integration, Interactive Data Visualization, Dashboard, Data Visualization, Data Analysis, Customer Insights, Data-Driven Decision-Making, Data Analysis Software, Exploratory Data Analysis, Presentations, Analytics, Technical Communication, Data Visualization Software, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks