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    • Math For Data Science

    Math for Data Science Courses Online

    Study mathematics for data science to understand mathematical foundations. Learn about linear algebra, calculus, and probability.

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    Explore the Math for Data Science Course Catalog

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Macquarie University

      Excel Skills for Business: Essentials

      Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Excel Formulas, Data Management, Data Entry, Productivity Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Data Literacy, Data Mining, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Applied Machine Learning, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93K reviews

      Beginner · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM Data Architecture

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Databases, NoSQL, Database Management Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Productivity Software, Data Cleansing, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    1…789…834

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

    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • R Programming: Johns Hopkins University
    • Exploratory Data Analysis for Machine Learning: IBM
    • Excel Skills for Business: Essentials: Macquarie University
    • IBM AI Foundations for Business: IBM
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • IBM Data Management: IBM
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • IBM Data Architecture: IBM
    • Big Data: University of California San Diego

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