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: Facebook, Target Audience, Customer Insights, Online Advertising, Advertising Campaigns, Digital Advertising, Customer Analysis, Advertising, Market Opportunities, Business Metrics, Content Performance Analysis, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, Computer Security Incident Management, User Accounts, Security Information and Event Management (SIEM), Authorization (Computing), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining
Mixed · Course · 1 - 3 Months

Corporate Finance Institute
Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization
Advanced · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Responsible AI, Generative AI, Customer Insights, Market Trend, Persona Development, Trend Analysis, Analytics, Data Analysis, Data-Driven Decision-Making, Business Ethics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Evaluation, Exploratory Data Analysis, Data Quality, Model Deployment, Data Cleansing, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Logistic Regression, Supervised Learning, Performance Tuning, Dataflow, Artificial Neural Networks, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months
CertNexus
Skills you'll gain: Data Analysis, Data Preprocessing, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Data Visualization Software, Probability & Statistics, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots, 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, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months
University of Minnesota
Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Model Evaluation, Machine Learning Algorithms, Algorithms, Business Metrics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
Mixed · Course · 1 - 4 Weeks