Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel
Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Database Development, Database Design, Data Modeling, SQL, Exploratory Data Analysis, Data Visualization Software, Data Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Wrangling, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Literacy, Data Presentation, Microsoft Excel, Sampling (Statistics), Statistics, Descriptive Statistics, Statistical Analysis, Data Analysis, Statistical Inference, Probability & Statistics, Probability Distribution, Influencing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Predictive Modeling, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Scatter Plots, Microsoft Excel
Mixed · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Exploratory Data Analysis, Data Strategy, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Solution Design, Data Analysis, Needs Assessment, Gap Analysis, Requirements Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months