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.

DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Business Analytics, Supply And Demand, Descriptive Statistics, Sampling (Statistics), Market Dynamics, Statistical Hypothesis Testing, Financial Systems, Statistics, Bank Regulations, Financial Policy, Banking, International Finance, Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Economics, Peer Review, Analytics
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Beginner · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: JSON, Package and Software Management, Web Scraping, Application Programming Interface (API), File Management, Python Programming, Authentications, Scripting, Data Processing, Performance Testing, Probability & Statistics
Intermediate · Course · 1 - 3 Months

University of Houston
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks