Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Vector Databases, Graphing, Predictive Analytics, Big Data
Status: FreePrinceton University
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)
Status: Free TrialMacquarie University
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Inference, Spreadsheet Software, Data-Driven Decision-Making, Box Plots, Probability Distribution, Histogram, Data Visualization Software, Variance Analysis
Status: Free TrialFractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Status: NewStatus: Free TrialGoogle
Skills you'll gain: Interactive Data Visualization, Google Gemini, Performance Measurement, AI Personalization, Artificial Intelligence, AI Enablement, AI Workflows, Generative AI, Simulation and Simulation Software, Business Modeling, Google Workspace, Responsible AI
Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Status: PreviewUniversity of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Status: Free TrialUniversity of Michigan
Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Data Manipulation, Software Installation
Status: Free TrialSkills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing
In summary, here are 10 of our most popular statistics for data science courses
- Data Mining: University of Illinois Urbana-Champaign
- Algorithms, Part I: Princeton University
- Statistics and Data Analysis with Excel: Essentials: Macquarie University
- Python for Data Science: Fractal Analytics
- Inferential Statistical Analysis with Python: University of Michigan
- AI for Data Analysis: Google
- Data Science Challenge: Coursera
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- An Intuitive Introduction to Probability: University of Zurich
- Statistics and Applied Data Analysis: University of Colorado Boulder
