Statistical Learning for Data Science Specialization

Statistical Learning for Data Science Specialization

(0 reviews)
Share icon
Coursera With GroupifyAI

Mastering Advanced Statistics for Data Science. Acquire the necessary knowledge and abilities to effectively communicate the choices and interpretations of models.

Key AI Functions:Unsupervised Learning,Resampling,regression,R Programming,Splines

Description for Statistical Learning for Data Science Specialization

Features of Course

  • Demonstrate the significance of statistical learning and the potential applications.
  • Describe the advantages and disadvantages of specific models in specific circumstances.
  • Implement numerous regression and classification methodologies.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by University of Colorado Boulder

    Duration: 4 months at 9 hours a week

    Schedule: Flexible

    Reviews for Statistical Learning for Data Science Specialization

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Statistical Learning for Data Science Specialization

    This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.

    #Critical Thinking #Computer Programming
    icon

    Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

    #Logistic Regression #Unsupervised Learning
    icon

    Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

    #Artificial Intelligence #Python (Programming Language)
    icon

    Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

    #Computer Programming #Rust (Programming Language)
    icon

    Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

    #Logistic Regression #Artificial Neural Network
    icon

    Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

    #Machine Learning #regression
    icon

    Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.

    #Statistical Hypothesis Testing #Machine Learning (ML) Algorithms
    icon

    Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.

    #Bayesian Statistics #Mathematics
    icon

    Learn to build and train supervised machine learning models for binary classification and prediction tasks using Python with NumPy and scikit-learn libraries.

    #Linear Regression #Regularization to Avoid Overfitting
    icon

    Accelerate your career in data analytics. In this certificate program, you will acquire skills that are in high demand at your own tempo, regardless of your degree or experience.

    #Data Analysis #Creating case studies
    icon