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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
    U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Big Data with MySQL

    Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Intelligence, Big Data, Business Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    320 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Caltech

    The Science of the Solar System

    Skills you'll gain: Science and Research, Research, Physical Science, Scientific Methods, Life Sciences, Physics, Water Resources, Advanced Mathematics, Chemistry, Environment, Biology, Geospatial Information and Technology, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    813 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Automate Data Onboarding, Validate, and Govern

    Skills you'll gain: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Clean, Analyze, and Visualize Your Data

    Skills you'll gain: Data Preprocessing, Data Visualization, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI Essentials: Data Transformation & Modeling with DAX

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Business Intelligence, Data-Driven Decision-Making, Data Modeling, Database Design, Microsoft Power Platform, Snowflake Schema, Data Transformation, Extract, Transform, Load, Data Storytelling, Data Strategy, Data Integration, Data Cleansing, Process Improvement and Optimization, Data Analysis, Data Management, Data Governance, Data Quality, Relationship Management

    Beginner · Course · 1 - 4 Weeks

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

  • Computational Social Science: University of California, Davis
  • Managing Big Data with MySQL: Duke University
  • Precalculus through Data and Modelling: Johns Hopkins University
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • Machine Learning for Medical Data : SkillUp
  • Essential Causal Inference Techniques for Data Science: Coursera
  • The Science of the Solar System: Caltech
  • Introduction to Data Science Techniques: Illinois Tech
  • Automate Data Onboarding, Validate, and Govern: Coursera
  • Advanced Data Science Techniques (with AWS Integration): Coursera

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