Mathematics Courses
Mathematics courses can help you learn algebra, calculus, statistics, and discrete mathematics. You can build skills in problem-solving, logical reasoning, and data analysis, that support interpreting complex information. Many courses introduce tools like graphing calculators, statistical software, and programming languages such as Python, showing how these skills apply in fields like finance, engineering, and data science.
Popular Mathematics Courses and Certifications
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Status: PreviewUniversity of California, Santa Cruz
Skills you'll gain: Instructional Strategies, Student-Centred Learning
Skills you'll gain: Education Software and Technology, Mathematics Education
Status: Free TrialSkills you'll gain: Vocabulary, Critical Thinking, Deductive Reasoning, Arithmetic, Problem Solving, Data Literacy, Grammar, English Language, Data Analysis, Literacy, Learning Strategies, Trend Analysis, Data Presentation, Analytical Skills, Logical Reasoning, Analysis, Quantitative Research, Estimation, Applied Mathematics, Advanced Mathematics
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Entry, Data Analysis Expressions (DAX), Business Mathematics
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry
Status: PreviewEmory University
Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business
The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic
Status: PreviewShanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
In summary, here are 10 of our most popular math courses
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Tutoring and Teaching Math for Understanding: University of California, Santa Cruz
- Improving Math Engagement with Prodigy: Coursera
- Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant: Board Infinity
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- تعليم lookup, math, text ,reference فى Excel: Coursera
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- Precalculus through Data and Modelling: Johns Hopkins University
- Math for MBA and GMAT Prep: Emory University
- Introduction to Linear Algebra: The University of Sydney
