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
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
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
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
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
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
Skills you'll gain: SQL, Database Management, Relational Databases, Stored Procedure, Databases, Query Languages, Database Theory, Data Access, Jupyter, Data Manipulation, Data Analysis, Transaction Processing, Python Programming
Skills you'll gain: Dashboard Creation, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Information Management, Command-Line Interface, Statistical Hypothesis Testing, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Debugging
Google
Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Statistical Software, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming
Google
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Google Sheets, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms
In summary, here are 10 of our most popular math for data science courses
- Data Science: Johns Hopkins University
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Data Science: Foundations using R: Johns Hopkins University
- Foundations of Data Science and Statistical Methods: John Wiley & Sons
- Python for Data Science with AI: LearnKartS
- Databases and SQL for Data Science with Python: IBM
- Python Project for Data Science: IBM
- Genomic Data Science: Johns Hopkins University
- Introduction to R Programming for Data Science: IBM
- The Power of Statistics: Google
