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: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

ESSEC Business School
Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations
Mixed · Course · 1 - 3 Months

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

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Probability & Statistics, Research Design, Statistical Software
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Environmental Social And Corporate Governance (ESG), Sustainable Business, Sustainable Development, Corporate Sustainability, Environmental Issue, Sustainability Reporting, Stakeholder Management, Business Ethics, Stakeholder Analysis, Governance, Strategic Thinking, Business Communication, Trend Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Universidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Python Programming, Jupyter, Graphing, Data Import/Export, Data Manipulation, Software Installation, Ubuntu, Scripting, Computational Thinking, Development Environment, Mac OS
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Portfolio Risk, Investment Management, Exploratory Data Analysis, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation
Beginner · Guided Project · Less Than 2 Hours

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