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
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)
University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms
University of Michigan
Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Extensible Languages and XML, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Software Installation
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Wrangling, Data Entry, Data Presentation, Data Manipulation
DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Literacy, Data Visualization, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Analytics, Statistical Methods, Histogram, Plot (Graphics), Probability, Simulations, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Sampling (Statistics)
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction
Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Design, Database Management, Stored Procedure, IBM DB2, Database Development, Data Manipulation, Data Analysis, Transaction Processing
The Hong Kong University of Science and Technology
Skills you'll gain: Cooking, Food and Beverage, Nutrition and Diet, Meal Planning And Preparation, Sensory Systems Analysis, Biochemistry, Aesthetics, Color Theory, Thermal Management, Chemistry, Physiology, Psychology
University of Pennsylvania
Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis
Google
Skills you'll gain: Data Presentation, Interactive Data Visualization, Google Gemini, Analytics, Business Analytics, Performance Measurement, Data Wrangling, AI Personalization, Artificial Intelligence, Performance Analysis, AI Enablement, AI Workflows, Generative AI, Simulation and Simulation Software, Google Workspace, Responsible AI
University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming
In summary, here are 10 of our most popular statistics for data science courses
- Modern Regression Analysis in R: University of Colorado Boulder
- Introduction to Discrete Mathematics for Computer Science: University of California San Diego
- Using Python to Access Web Data: University of Michigan
- Preparing Data for Analysis with Microsoft Excel: Microsoft
- Applied Statistics for Data Analytics: DeepLearning.AI
- Statistical Learning for Data Science: University of Colorado Boulder
- SQL: A Practical Introduction for Querying Databases: IBM
- The Science of Gastronomy: The Hong Kong University of Science and Technology
- AI Fundamentals for Non-Data Scientists: University of Pennsylvania
- AI for Data Analysis: Google
