Math for Data Science Courses
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.
Popular Math for Data Science Courses and Certifications
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Data Science, Data Manipulation, Data Transformation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
Status: NewMicrosoft
Skills you'll gain: Microsoft SQL Servers, SQL, Database Design, Transact-SQL, Databases, Database Management Systems, Database Management, Relational Databases, Data Transformation, Data Manipulation, GitHub Copilot, Query Languages, Generative AI, Data Analysis
Status: Free TrialMultiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Status: Free TrialDeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Software, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Analysis, Data Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Applied Mathematics, Data Science, Graphing, General Mathematics, Data Analysis, Statistical Methods, Mathematical Theory & Analysis, Derivatives, Probability & Statistics
Status: NewStatus: Free TrialJohn Wiley & Sons
Skills you'll gain: Matplotlib, Plot (Graphics), Relational Databases, SQL, Database Theory, R (Software), Data Visualization, Statistical Programming, Ggplot2, Data Science, Query Languages, Databases, Database Systems, R Programming, Database Design, Statistical Methods, Database Management, Data Analysis, Power BI, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Data Visualization, Data Storytelling, Power BI, Dashboard, Data Presentation, Transact-SQL, SQL, Microsoft SQL Servers, Excel Formulas, Microsoft Excel, Statistical Visualization, Pivot Tables And Charts, Data Cleansing, Transaction Processing, Data Manipulation, Data Processing, Data Analysis, Dashboard Creation, Business Intelligence, Data Management
Status: NewUniversity of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Data Science, Statistical Machine Learning, Statistical Methods, Statistical Software, Statistical Analysis, Mathematics and Mathematical Modeling, Computational Logic, Statistical Inference, Probability & Statistics, Machine Learning Methods, Computational Thinking
In summary, here are 10 of our most popular math for data science courses
- Mathematics for Machine Learning: Imperial College London
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Data Science Math Skills: Duke University
- SQL Foundations: Microsoft
- Data Science Foundations: IBM
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Advanced Statistics for Data Science: Johns Hopkins University
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Expressway to Data Science: Essential Math: University of Colorado Boulder
- Applied Data Science with SQL, R, and Python: John Wiley & Sons
