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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
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Design Thinking for Innovation

    Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Creativity, Strategic Thinking, Thought Leadership, Case Studies, Human Centered Design, Open Mindset, Experimentation, Storytelling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, Data Ethics, AI literacy, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Financial Markets

    Skills you'll gain: Financial Regulations, Investment Banking, Financial Market, Financial Systems, Risk Management, Financial Regulation, Securities (Finance), Portfolio Risk, Financial Management, Financial Services, Financial Industry Regulatory Authorities, Capital Markets, Finance, Equities, Banking, Portfolio Management, Investments, Bank Regulations, Behavioral Economics, Governance

    4.8
    Rating, 4.8 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Software, Database Management, Database Theory, Data Warehousing, Interactive Data Visualization, Dashboard, Database Administration, Data Visualization Software, Star Schema, Dashboard Creation, Linux Commands, Unix, Data Integrity, Unit Testing, Algorithms, Analytics, Database Architecture and Administration, Software Versioning, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Computer Programming, C and C++, Algorithms, C (Programming Language), Software Design, Program Development, Graph Theory, Code Reusability, Computational Logic, Artificial Intelligence, Data Structures, Memory Management, File I/O, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Patterns, Google Gemini, Generative AI, AI literacy, Model Training, Technology Roadmaps, AI Integrations, Google Sheets, Critical Thinking, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Security Strategy, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    42K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to AI: Google
  • Design Thinking for Innovation: University of Virginia
  • Generative AI for Data Scientists: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • Generative AI Fundamentals: IBM
  • Financial Markets: Yale University
  • Meta Database Engineer: Meta
  • Data Analysis with R: Duke University
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Google AI Essentials: Google

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