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.

Skills you'll gain: Stored Procedure, MySQL Workbench, SQL, Data Cleansing, Data-Driven Decision-Making, MySQL, Exploratory Data Analysis, Database Design, Data Presentation, Data Manipulation, Data Integration, Relational Databases, Data Import/Export, Database Management, Query Languages, Database Software, Report Writing, GitHub, Performance Tuning, Jupyter
Beginner · Specialization · 3 - 6 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics, Scripting
Beginner · Specialization · 3 - 6 Months

University of North Texas
Skills you'll gain: Arithmetic, Graphing, Geometry, Statistics, Algebra, Descriptive Statistics, General Mathematics, Applied Mathematics, Statistical Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard Creation, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Probability Distribution, Data Analysis, R (Software), Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Database Management, Relational Databases, R Programming, Python Programming, NumPy
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Python Programming, NumPy, Data Analysis
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

Packt
Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling
Intermediate · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Statistical Methods, Exploratory Data Analysis, Data Quality, Statistics, Data Analysis, Data Science, Statistical Analysis, Probability & Statistics, Data Storage, Data Collection, Data Management, Data Pipelines, Statistical Machine Learning, Data-Driven Decision-Making, Applied Mathematics, Interactive Data Visualization, Calculus, Probability Distribution, Machine Learning, Linear Algebra
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Correlation Analysis, Data Science, Sample Size Determination, Artificial Intelligence
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months