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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


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Foundations for Business

    Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Generative Model Architectures, Decision Intelligence, Data Processing, Big Data, LLM Application, Information Architecture, AI literacy, Strategic Decision-Making, AI Integrations, Enterprise Architecture, Cloud Computing, Data Science, Data Architecture, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architecture

    Skills you'll gain: NoSQL, Database Administration, Data Warehousing, SQL, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Data Security, Linux Commands, Data Migration, Data Governance, MongoDB, Apache Spark, Apache Kafka, Extract, Transform, Load, Data Architecture, Data Store

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Data Architecture, Relational Databases, Database Systems, Apache Hadoop, Databases, Big Data, Unit Testing, Database Development, Data Storage, Apache Spark, Data Import/Export, Python Programming, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Probability, Video Game Development, Bioinformatics, Interactive Design, Animation and Game Design, Python Programming, Data Analysis, Program Development, Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.4 out of 5 stars
    ·
    193 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Apache Spark, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Database Design, Data Processing, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

    Skills you'll gain: Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Wrangling, Data Entry, Data Presentation, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: Free
    Free
    C

    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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 Design, Database Management, Stored Procedure, IBM DB2, Database Development, Data Manipulation, Data Analysis, Transaction Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    712 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    106 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Performance Measurement, Business Intelligence Software, Interactive Data Visualization, Data Presentation, Analytics, Business Reporting, Dataflow, Anomaly Detection, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • IBM AI Foundations for Business: IBM
  • IBM Data Architecture: IBM
  • Data Engineering Foundations: IBM
  • Fundamentals of Computing: Rice University
  • SQL for Data Science with R: IBM
  • Introduction to Data Engineering: IBM
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Introduction to Data Analysis using Microsoft Excel: Coursera
  • SQL: A Practical Introduction for Querying Databases: IBM

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