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.

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Deep Learning, Portfolio Management
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Applied Mathematics, Data Science, Graphing, General Mathematics, Data Analysis, Statistical Methods, Mathematical Theory & Analysis, Derivatives, Probability & Statistics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Modeling, Data Science, Predictive Analytics
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Integral Calculus, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives
Mixed · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Recurrent Neural Networks (RNNs), Model Evaluation, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Data Preprocessing, Statistical Methods, Deep Learning, Supervised Learning, Statistical Modeling, Statistical Analysis, Model Training, Data Wrangling, Machine Learning, Python Programming, Correlation Analysis
Intermediate · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Portfolio Risk, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Investments, Applied Mathematics, Risk Modeling, Estimation, Capital Markets, Futures Exchange, Financial Modeling, Regression Analysis, Market Liquidity, Statistical Methods
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Statistics, Data-Driven Decision-Making, Data Analysis, Statistical Reporting, Data Presentation, Quantitative Research, Analytical Skills, Statistical Analysis, Statistical Methods, Descriptive Analytics, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Estimation, Statistical Visualization, Decision Making
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis
Advanced · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Operations Research, Analysis, Business Analysis, Data Validation, Data Import/Export, Resource Utilization, Process Optimization, Data Sharing, Trend Analysis, Data Integration, Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months