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.

Imperial College London
Beginner · Specialization

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks
★ 4.6 (3.3K) · Intermediate · Specialization · 1 - 3 Months

Rutgers the State University of New Jersey
Skills you'll gain: Financial Analysis, Data Analysis, Data Science, Investments, Regression Analysis, Financial Statement Analysis, Financial Market, Investment Management, Analysis, Equities, Financial Modeling, Business Valuation, Financial Planning, Securities (Finance), Data Visualization, Critical Thinking, Personal Development
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Data Science, General Mathematics, Data Analysis, Advanced Mathematics, Derivatives
★ 4.5 (13K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Machine Learning, Python Programming, Artificial Neural Networks, Computer Programming, Derivatives
★ 4.8 (974) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Statistics, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Derivatives
★ 4.4 (802) · Advanced · Specialization · 3 - 6 Months

Multiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Visualization, Correlation Analysis, Pandas (Python Package), NumPy, R Programming, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
★ 4.6 (118K) · Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Data Science, Graphing, Statistical Methods, Derivatives, Probability & Statistics
★ 4.5 (488) · Intermediate · Specialization · 3 - 6 Months

The Skill Valley
Skills you'll gain: Data Modeling, Star Schema, Data Architecture, Data Governance, Data Quality, Analytics, Data Structures, Data Transformation, Business Logic, Data Validation, Architectural Design, Data Access, Machine Learning, Governance, Quality Control, Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Python Programming, NumPy, Data Analysis
★ 4.6 (44K) · Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Power BI, Dashboard Creation, Data Visualization, Microsoft Excel, Advanced Analytics, Data Integrity, Data Analysis, Data Storage, Business Intelligence, Model Optimization, Descriptive Statistics, Creative Design, SQL, Data Wrangling, Data Entry, Data Security, Data Import/Export, Data Analysis Software, Data Maintenance, Design
★ 4.6 (9.7K) · Beginner · Professional Certificate · 3 - 6 Months
Top-rated Math For Data Science courses offered by DeepLearning.AI on Coursera.
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Top-rated beginner-friendly Math For Data Science courses with no prerequisites.