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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Vital Signs: Understanding What the Body Is Telling Us

    Skills you'll gain: Vital Signs, Respiration, Respiratory Care, Pulmonology, Pain Management, Physiology, Health Assessment, Cardiology, Thermal Management, Neurology, Patient Evaluation, Anatomy, Clinical Assessment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.9K reviews

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Intuit

    Intuit Academy Bookkeeping

    Skills you'll gain: Reconciliation, Financial Statements, Financial Statement Analysis, Inventory Accounting, Payroll, Bookkeeping, QuickBooks (Accounting Software), Payroll Administration, Inventory Control, Payroll Processing, Income Statement, Balance Sheet, Financial Reporting, Depreciation, Fixed Asset, Payroll Tax, Property Accounting, Accounting Software, Financial Accounting, Financial Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Pseudocode, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Software Design Patterns, Debugging, Game Theory, Mathematical Modeling, Test Case

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Wesleyan University

    Social Psychology

    Skills you'll gain: Social Sciences, Psychology, Persuasive Communication, Sociology, Empathy & Emotional Intelligence, Behavior Management, Conflict Management, Research, Diversity Awareness, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 3 Months

  • N

    Northeastern University

    Master of Science in Information Systems

    Skills you'll gain: Database Design, Software Quality Assurance, Enterprise Architecture, Open Web Application Security Project (OWASP), Data Governance, User Research, Stakeholder Engagement, Algorithms, Agile Software Development, Software Development Life Cycle, Unified Modeling Language, Software Architecture, Cybersecurity, Responsive Web Design, Java, Cascading Style Sheets (CSS), Agile Methodology, Object Oriented Programming (OOP), Data Structures, Data Ethics

    Earn a degree

    Degree · 1 - 4 Years

  • 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, Environmental Science, Physics, Water Resources, Advanced Mathematics, Chemistry, Environment, Biology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    813 reviews

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Agentic AI Performance & Reliability

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Introduction to Applied Business Analytics

    Skills you'll gain: Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Data Presentation, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    309 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    No-Code Model Evaluation, Communication, and Business Impact

    Skills you'll gain: Responsible AI, Model Evaluation, Business Analytics, Dashboard, Business Analysis, Data Ethics, Analysis, Analytical Skills, Performance Analysis, Predictive Analytics, Business Metrics, Business Communication, Performance Measurement, Regional Sales, Data-Driven Decision-Making, Technical Communication, Key Performance Indicators (KPIs), Continuous Quality Improvement (CQI), Process Improvement and Optimization, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Vital Signs: Understanding What the Body Is Telling Us: University of Pennsylvania
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Intuit Academy Bookkeeping: Intuit
  • Principles of Computing (Part 2): Rice University
  • Social Psychology: Wesleyan University
  • Master of Science in Information Systems: Northeastern University
  • The Science of the Solar System: Caltech
  • Agentic AI Performance & Reliability: Coursera
  • Introduction to Applied Business Analytics: University of Illinois Urbana-Champaign
  • No-Code Model Evaluation, Communication, and Business Impact: LearnQuest

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