Statistics Courses
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.
Popular Statistics Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis
Status: Free TrialUniversity of Michigan
Skills you'll gain: Regression Analysis, Data Cleansing, Correlation Analysis, Data Preprocessing, Matplotlib, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Statistical Inference, Descriptive Statistics, Pandas (Python Package), Python Programming
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Status: PreviewUniversity 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
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming
Status: Free TrialEDHEC Business School
Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Unstructured Data, Predictive Modeling, Web Scraping, Social Network Analysis, Financial Statements, Financial Market, Financial Analysis, Investments, Financial Modeling, Asset Management, Python Programming, Data Analysis, Consumer Behaviour
Status: Free TrialWesleyan University
Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming
Status: Free TrialSkills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Status: Free TrialUniversity of Michigan
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming
In summary, here are 10 of our most popular statistics courses
- Python for Data Analytics: DeepLearning.AI
- Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
- Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Foundations of Data Science: K-Means Clustering in Python: University of London
- Python for Data Analysis: Pandas & NumPy: Coursera
- Python and Machine-Learning for Asset Management with Alternative Data Sets: EDHEC Business School
- Regression Modeling in Practice: Wesleyan University
- Introduction to Computational Statistics for Data Scientists: Databricks
- Moneyball and Beyond: University of Michigan
