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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


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    Microsoft

    Advanced C++ Programming and Modern Practices

    Skills you'll gain: C++ (Programming Language), Software Documentation, System Programming, Technical Documentation, Application Development, Maintainability, Data Structures, Generative AI, Application Performance Management, Algorithms, Scalability

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    Google Data Analytics (PT)

    Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, R (Software), Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, Data Quality, Data Collection, Data Processing

    4.9
    Rating, 4.9 out of 5 stars
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    4.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Craft Omni-Channel Marketing Plans

    Skills you'll gain: Marketing Planning, Performance Measurement, Customer Retention, Analysis, Customer Insights, Brand Management

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    AI Security: Security in the Age of Artificial Intelligence

    Skills you'll gain: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, Incident Response, LLM Application, Security Engineering, Anomaly Detection, Application Security, Responsible AI, Security Controls, Data Security, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Process Optimization, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

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    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    351 reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Introduction to Cloud Computing & Core AWS Services

    Skills you'll gain: Amazon CloudWatch, Public Cloud, Virtual Networking, Infrastructure As A Service (IaaS), Data Storage, System Monitoring, Network Security

    Beginner · Course · 1 - 3 Months

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    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    759 reviews

    Advanced · Course · 1 - 3 Months

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    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Automate, Analyze, and Evaluate Accounting with AI

    Skills you'll gain: Fraud detection, Accounting Software, Financial Auditing, Data-Driven Decision-Making, Reconciliation, Business Workflow Analysis, Operational Analysis, Artificial Intelligence, Transaction Processing, Process Analysis

    Beginner · Course · 1 - 4 Weeks

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    Knowledge Accelerators

    Microsoft 365 Copilot AI: Excel, Word, Teams, Outlook +

    Skills you'll gain: Microsoft Copilot, Microsoft 365, Microsoft PowerPoint, Microsoft Teams, Microsoft Excel, Spreadsheet Software, Microsoft Word, Document Management, Taking Meeting Minutes, Business Management, Business Communication, Business Administration, Editing

    Beginner · Course · 1 - 3 Months

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    Packt

    Advanced Trading Bot on DYDX with AWS & Python

    Skills you'll gain: DevOps, Cloud Deployment, Amazon Elastic Compute Cloud, Technical Analysis, Real Time Data

    Advanced · Course · 1 - 3 Months

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

  • Advanced C++ Programming and Modern Practices: Microsoft
  • Google Data Analytics (PT): Google
  • Craft Omni-Channel Marketing Plans: Coursera
  • AI Security: Security in the Age of Artificial Intelligence: Coursera
  • Materials Data Sciences and Informatics: Georgia Institute of Technology
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Introduction to Cloud Computing & Core AWS Services: Packt
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Biostatistics in Public Health: Johns Hopkins University
  • Automate, Analyze, and Evaluate Accounting with AI: Coursera

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