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: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), NumPy
Intermediate · Course · 1 - 3 Months

Splunk Inc.
Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization
Beginner · Course · 1 - 4 Weeks

The Chinese University of Hong Kong
Skills you'll gain: Model Evaluation, Statistical Modeling, Statistical Analysis, SPSS (Software), SAS (Software), Statistical Methods, Correlation Analysis, Regression Analysis, Data Analysis Software, Data Manipulation
Mixed · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Strategy, Machine Learning, Embeddings, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Web Analytics and SEO, Search Engine Optimization, Content Marketing, Web Analytics, Blogs, Search Engine Marketing, Content Creation, MarTech, Marketing Strategy and Techniques, Digital Marketing, Growth Strategies, Content Strategy, Market Research
Beginner · Course · 1 - 3 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours
Emory University
Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Model Evaluation, Business Analysis, Predictive Modeling, Logistic Regression, Analytical Skills, Regression Analysis, Data Analysis, Data Preprocessing, Data Visualization
Mixed · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export
Beginner · Specialization · 1 - 3 Months

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
University of Toronto
Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Visualization (Computer Graphics), R (Software), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Molecular Biology, Design Thinking
Intermediate · Course · 1 - 3 Months

Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months