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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


  • U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    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

    ★ 4.4 (357) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Python Programming, NumPy, Data Analysis

    ★ 4.6 (44K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Introduction to R Programming for Data Science

    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

    ★ 4.5 (614) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    ★ 4.7 (78K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Python Project for Data Science

    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

    ★ 4.5 (4.9K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Macquarie University

    Excel Skills for Business

    Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Dashboard Creation, Data Wrangling, Excel Macros, Data Preprocessing, Spreadsheet Software, Data Validation, Data Manipulation, Data Processing, Data Presentation, Interactive Data Visualization, Data Analysis Software, Business Analytics, Data Modeling, Financial Forecasting, Analytical Skills, Predictive Modeling, Productivity Software

    ★ 4.9 (64K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google

    The Power of Statistics

    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

    ★ 4.8 (890) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    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

    ★ 4.5 (3.7K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnKartS

    Python for Data Science with AI

    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

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, R (Software), Data Science, Query Languages, Data Access, Data Manipulation, Data Analysis

    ★ 4.4 (192) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining

    ★ 4.5 (27K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Generative Model Architectures, IBM Cloud, AI Workflows, LLM Application, Workflow Management, AI literacy, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Artificial Intelligence, Self Service Technologies, Machine Learning, Deep Learning, Data Science

    ★ 4.7 (36K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…834

In summary, here are 10 of our most popular math for data science courses

  • Data Science Foundations: Statistical Inference: University of Colorado Boulder
  • Python for Data Science, AI & Development: IBM
  • Introduction to R Programming for Data Science: IBM
  • What is Data Science? : IBM
  • Python Project for Data Science: IBM
  • Excel Skills for Business: Macquarie University
  • The Power of Statistics: Google
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Python for Data Science with AI: LearnKartS
  • SQL for Data Science with R: IBM

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