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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Classes and Inheritance

    Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Software Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Logical Operations

    R Programming: Conditionals, Loops, Functions, and Packages

    Skills you'll gain: R Programming, Maintainability, Package and Software Management, R (Software), Programming Principles, Statistical Programming, Computer Programming, Data Structures, Software Development, Data Science, Computer Programming Tools, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Algorithms and Complexity

    Skills you'll gain: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to Fundamental Data Structures and Techniques

    Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computational Thinking

    Intermediate · Course · 1 - 3 Months

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

    SkillUp

    Advanced Healthcare Analytics

    Skills you'll gain: Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, ChatGPT, Logistic Regression, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • 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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Behavioral Finance

    Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Cambridge

    Forensic Science: DNA Analysis

    Skills you'll gain: Criminal Investigation and Forensics, Investigation, Laboratory Testing, Statistical Analysis, Molecular Biology, Specimen Collection, Scientific Methods, Medical Science and Research, General Science and Research, Data Collection, Case Studies, Biology, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, Google Gemini, Responsible AI, Generative AI, Google Workspace, Google Cloud Platform, Gemini, AI Product Strategy, AI Enablement, AI Workflows, Productivity Software, AI Security, Unstructured Data, Tool Calling, Data Literacy, Artificial Intelligence, Cloud Computing, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    951 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

1…109110111…834

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

  • Python Classes and Inheritance: University of Michigan
  • R Programming: Conditionals, Loops, Functions, and Packages: Logical Operations
  • Algorithms and Complexity: University of London
  • Apply Test-Driven ML Code: Coursera
  • Introduction to Fundamental Data Structures and Techniques: Packt
  • Advanced Healthcare Analytics: SkillUp
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Behavioral Finance: Duke University
  • Forensic Science: DNA Analysis: University of Cambridge

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