Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.

Macquarie University
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Transformation, Spreadsheet Software, Data Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Business Requirements, Data Preprocessing, Automation
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation
Mixed · Course · 1 - 3 Months
Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Stakeholder Engagement, Analytical Skills, Business Analysis, Analysis, Expectation Management, Quantitative Research, Problem Solving, Communication Strategies
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, Data Presentation, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Modeling, Database Design, Performance Metric, Business Metrics, Analytical Skills, Business Analytics, Text Mining, Data Science, Data Import/Export, Target Audience
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Data Manipulation, Analytics, Sample Size Determination, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Code Reusability, Jupyter, Python Programming, Programming Principles, Scripting, File I/O, Computational Logic, Computer Programming, Data Manipulation, Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Interactive Data Visualization, Predictive Modeling, Statistical Analysis, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Skills you'll gain: File I/O, Data Structures, Data Processing, Data Analysis, Python Programming, Data Manipulation, Software Installation, File Management, Development Environment
Beginner · Course · 1 - 3 Months

The University of Sydney
Skills you'll gain: Calculus, Integral Calculus, Algebra, Geometry, Trigonometry, Derivatives, Graphing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months