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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
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Web Applications, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Web Development, Development Environment, Web Development Tools, Web Content Accessibility Guidelines, Semantic Web

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Computer Science, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Engineering, Cloud Computing, Generative AI, Generative Model Architectures, Data Processing, Big Data, LLM Application, AI literacy, Data Science, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Development, Scientific Methods, Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Performance Metric, Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Data Store, Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Extract, Transform, Load, Data Lakes, Data Integration, Infrastructure as Code (IaC), Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    606 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Environmental Science

    Skills you'll gain: Environment, Environmental Issue, Environmental Science, Environmental Resource Management, Environment and Resource Management, Sustainable Development, Water Resources, Hydrology, Life Sciences, Climate Change Programs, Water Quality, Pollution Prevention, Systems Thinking, Energy and Utilities, Climate Change Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    355 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Data Analysis Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Data Processing, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    142 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Algorithms: Stanford University
  • Generative AI for Everyone: DeepLearning.AI
  • Key Technologies for Business: IBM
  • Introduction to Data Analysis Using Excel: Rice University
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Introduction to Data Analytics: Meta
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • DeepLearning.AI Data Engineering: DeepLearning.AI

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