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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
    M

    Microsoft

    Data Modeling and Architecture

    Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Visualization Software, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Cleansing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Influencing: Storytelling, Change Management and Governance

    Skills you'll gain: Risk Management Framework, Persuasive Communication, Storytelling, Influencing, Governance, Risk Management, Change Management, Organizational Change, Communication, Conflict Management, Leadership, Business Transformation, Risk Analysis, Negotiation, Operational Risk, Business Risk Management, Risk Mitigation, Intercultural Competence, Stakeholder Management, Process Management

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

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Back-End Development

    Skills you'll gain: Bootstrap (Front-End Framework), HTML and CSS, User Interface (UI), Front-End Web Development, Responsive Web Design, JavaScript Frameworks, Web Design, Web Development, Web Applications, Hypertext Markup Language (HTML), Full-Stack Web Development, Cascading Style Sheets (CSS), Back-End Web Development, React.js

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Data Preprocessing, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Design Real-Time Architectures with Spark & Kafka

    Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Advanced Dart Programming for Scalable Applications

    Skills you'll gain: Application Design, Scalability, Software Architecture, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    CentraleSupélec

    Build Your First Android App (Project-Centered Course)

    Skills you'll gain: Android Studio, Android Development, Storyboarding, Application Design, Mobile Development, Application Development, Java, User Interface (UI) Design, Software Design, Interactive Design, Development Environment, Software Installation, User Centered Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    2K reviews

    Mixed · Course · 1 - 3 Months

1…919293…834

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

  • Data Modeling and Architecture: Microsoft
  • Applied Object Detection & Segmentation: Coursera
  • Influencing: Storytelling, Change Management and Governance: Macquarie University
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Introduction to Back-End Development: Meta
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Fundamentals of Machine Learning: Packt
  • Design Real-Time Architectures with Spark & Kafka: Coursera
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Apply Natural Language Processing Techniques in Python: EDUCBA

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