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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: New
    New
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    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    208 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    852 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    848 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    L

    LearnQuest

    Build and Deploy Chatbots and Recommender Systems

    Skills you'll gain: Model Deployment, Responsible AI, No-Code Development, LLM Application, AI Enablement, ChatGPT, Business Metrics, Data Ethics, AI Personalization, Return On Investment, Artificial Intelligence, AI Product Strategy, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Large Language Modeling, Product Improvement, Cross Platform Development, Continuous Improvement Process, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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    T

    The University of North Carolina at Chapel Hill

    Research Data Management and Sharing

    Skills you'll gain: Data Sharing, Data Management, Data Storage, File Management, Data Security, Information Management, Data Strategy, Metadata Management, Records Management, Data Governance, Data Integrity, Data Literacy, Information Privacy, Version Control

    4.7
    Rating, 4.7 out of 5 stars
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    742 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Arizona

    Astronomy: Exploring Time and Space

    Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, electromagnetics, Biology, Global Positioning Systems, Scientific Methods, Scientific Visualization, Research, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Basic Data Processing and Visualization

    Skills you'll gain: Data Processing, Data Manipulation, Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Analysis, Data Preprocessing, Data Cleansing, Matplotlib, Data Import/Export, NumPy, Jupyter, JSON, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    199 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Technical University of Munich (TUM)

    Welcome to Munich

    Skills you'll gain: Higher Education, Cultural Sensitivity, Language Learning, Student Support and Services, Intercultural Competence, Cultural Diversity, Student Engagement, Adaptability

    4.3
    Rating, 4.3 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

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

  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • DevOps, DataOps, MLOps: Duke University
  • Calculating Descriptive Statistics in R: Coursera
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Generative AI Engineering with LLMs: IBM
  • Principles of fMRI 1: Johns Hopkins University
  • Build and Deploy Chatbots and Recommender Systems: LearnQuest
  • Research Data Management and Sharing: The University of North Carolina at Chapel Hill
  • Astronomy: Exploring Time and Space: University of Arizona
  • Basic Data Processing and Visualization: University of California San Diego

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