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: Top AI ProgramDeepLearning.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
DeepLearning.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
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
Status: Top AI ProgramImperial 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, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
Status: BestsellerMultiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
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Johns 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
DeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
LearnKartS
Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization, Seaborn, Data Manipulation, Data Visualization Software, Pseudocode, Problem Solving, Data Analysis, Programming Principles, Data Processing, AI literacy, Dashboard, Python Programming, Data Science, Computer Programming, Generative AI
John Wiley & Sons
Skills you'll gain: Statistical Methods, Exploratory Data Analysis, Data Quality, Statistics, Data Analysis, Data Science, Statistical Analysis, Data Storage, Data Collection, Data Management, Data Pipelines, Statistical Machine Learning, Data-Driven Decision-Making, Calculus, Probability Distribution, Machine Learning, Linear Algebra
University 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: Job SkillsSkills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Data Wrangling, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Unsupervised Learning, Interactive Data Visualization, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Python Programming
In summary, here are 10 of our most popular math for data science courses
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Data Science with Python: Packt
- Mathematics for Machine Learning: Imperial College London
- Data Science Math Skills: Duke University
- Data Science Foundations: IBM
- Advanced Statistics for Data Science: Johns Hopkins University
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Python for Data Science with AI: LearnKartS
- Foundations of Data Science and Statistical Methods: John Wiley & Sons
