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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


  • 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
  • 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
  • U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Statistical Inference

    ★ 4.5 (286) · Intermediate · Course · 1 - 3 Months

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

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Cloud Computing, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Query Languages, Python Programming, Machine Learning, Open Source Technology

    ★ 4.5 (30K) · Beginner · Course · 1 - 3 Months

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

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software, Data Wrangling, Microsoft Excel, Data Analysis, Data Quality, Google Sheets, Data Manipulation, Data Integrity, Data Entry, Data Import/Export, Data Science, Information Privacy

    ★ 4.7 (11K) · 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

    IBM Data Engineering

    Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, SQL, IBM Cognos Analytics, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science

    ★ 4.6 (62K) · Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    Introduction to Data Engineering

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

    ★ 4.7 (3.6K) · Beginner · Course · 1 - 4 Weeks

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

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel

    ★ 4.8 (21K) · Beginner · Course · 1 - 3 Months

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

    University of California, Irvine

    Data Science Fundamentals

    Skills you'll gain: Social Media Analytics, Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Regression Analysis, Data Mining, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Big Data, Analytics, Supervised Learning, Cloud Computing

    ★ 4.3 (263) · Beginner · Specialization · 3 - 6 Months

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

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Database Management, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Data Processing, Big Data, Query Languages, GitHub, Software Development Tools, Data Visualization Software, Python Programming

    ★ 4.6 (102K) · Beginner · Specialization · 3 - 6 Months

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

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming

    ★ 4.5 (34K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…834

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

  • SQL for Data Science with R: IBM
  • AI Foundations for Everyone: IBM
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Tools for Data Science: IBM
  • Excel Basics for Data Analysis: IBM
  • Introduction to Data Science in Python: University of Michigan
  • IBM Data Engineering: IBM
  • Introduction to Data Engineering: IBM
  • Introduction to Data Analytics: IBM
  • Data Science Fundamentals: University of California, Irvine

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