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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: Free
    Free
    C

    Coursera

    Copy.AI for Beginners: Generate texts for various use cases

    Skills you'll gain: Prompt Engineering, Workflow Management, Generative AI, Organizational Skills, AI Workflows, Content Creation, Brand Management

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Memoir and Personal Essay: Managing Your Relationship with the Reader

    Skills you'll gain: Journals

    4.3
    Rating, 4.3 out of 5 stars
    ·
    256 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    데이터 과학자의 도구 상자

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Data Quality, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Security Best Practices in Google Cloud

    Skills you'll gain: Identity and Access Management, Cloud Security, OAuth, Google Cloud Platform, Kubernetes, Cloud Storage, Security Controls, Data Storage Technologies, Application Security, Authorization (Computing), Data Security, Role-Based Access Control (RBAC), Hardening, Encryption, Key Management, Virtual Machines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Practical Introduction to the Command Line

    Skills you'll gain: Unix Commands, Command-Line Interface, Unix, Bash (Scripting Language), File Management, Linux Commands, Productivity, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    381 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    P

    Peking University

    生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Computational Thinking, Data Analysis Software, Data Mining, Statistical Methods, Data Processing, Algorithms, Database Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Unit Testing, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Application Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Exploiting and Securing Vulnerabilities in Java Applications

    Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Exploit development, Penetration Testing, Application Security, Vulnerability Assessments, Code Review, Vulnerability Management, Secure Coding, Authorization (Computing), Java, Java Programming, Dependency Analysis, Docker (Software), JSON, Git (Version Control System)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building Production-Ready Apps with Large Language Models

    Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring

    4
    Rating, 4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Exam Prep AZ-120: Azure for SAP Workloads Specialty

    Skills you'll gain: Microsoft Azure, Disaster Recovery, SAP Applications, Azure Active Directory, Cloud Infrastructure, Cloud Management, System Monitoring, Application Deployment, Virtual Machines, Virtual Networking, IT Infrastructure, Cloud Storage, Data Migration, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini for Application Developers

    Skills you'll gain: Gemini, Generative AI, Google Cloud Platform, Cloud Applications, Software Development Tools, Application Development, Integrated Development Environments, Code Review

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Zurich

    Sprachtechnologie in den Digital Humanities

    Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Document Management, Data Quality, Machine Learning Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 3 Months

Searches related to statistics for data science

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

  • Copy.AI for Beginners: Generate texts for various use cases: Coursera
  • Memoir and Personal Essay: Managing Your Relationship with the Reader: Wesleyan University
  • 데이터 과학자의 도구 상자: Johns Hopkins University
  • Security Best Practices in Google Cloud: Google Cloud
  • Practical Introduction to the Command Line: Coursera
  • 生物信息学: 导论与方法: Peking University
  • Introduction to Automated Analysis: University of Minnesota
  • Exploiting and Securing Vulnerabilities in Java Applications: University of California, Davis
  • Building Production-Ready Apps with Large Language Models: Coursera
  • Exam Prep AZ-120: Azure for SAP Workloads Specialty: Whizlabs

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