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  • Math For Data Science

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


  • C

    Coursera

    How to Use Lookup Reference Math and Text Functions in Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Microsoft 365, Data Validation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    524 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    723 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Create Interactive Dashboards with Streamlit and Python

    Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Science, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    401 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    328 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL: A Practical Introduction for Querying Databases

    Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    684 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Exploratory Data Analysis with MATLAB

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    820 reviews

    Beginner · Course · 1 - 3 Months

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

  • How to Use Lookup Reference Math and Text Functions in Excel: Coursera
  • Machine Learning Foundations for Product Managers: Duke University
  • Create Interactive Dashboards with Streamlit and Python: Coursera
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • SQL: A Practical Introduction for Querying Databases: IBM
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Reproducible Research: Johns Hopkins University
  • Algorithms, Part I: Princeton University
  • Methods and Statistics in Social Sciences: University of Amsterdam

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