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  • Intermediate Ruby Programming

Results for "intermediate ruby programming"


  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    890 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Getting Started with Front-End and Web Development

    Skills you'll gain: Application Development, User Interface and User Experience (UI/UX) Design, Web Design and Development, Front-End Web Development, No-Code Development, WordPress, Web Applications, Web Development, Full-Stack Web Development, Back-End Web Development, Content Management Systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    407 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM COBOL Core

    Skills you'll gain: COBOL (Programming Language), Report Writing, Debugging, Programming Principles, Software Testing, Computer Programming, Maintainability, Business Logic, Software Engineering, Data Storage, Numerical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis Tools

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    416 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Forecasting, Excel Formulas, Data Modeling, Microsoft Excel, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    295 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Developing the SIR Model

    Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

    4.9
    Rating, 4.9 out of 5 stars
    ·
    274 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Python: A Guided Journey from Introduction to Application

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, File I/O, Generative Adversarial Networks (GANs), NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Event-Driven Programming, Programming Principles, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Functions

    Skills you'll gain: Functional Design, Scripting, Scripting Languages, Python Programming, Data Science, Programming Principles, Computer Programming, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular intermediate ruby programming courses

  • Principal Component Analysis with NumPy: Coursera
  • Getting Started with SAS Visual Analytics : SAS
  • Getting Started with Front-End and Web Development: IBM
  • IBM COBOL Core: IBM
  • Data Analysis Tools: Wesleyan University
  • Analytics for Decision Making: University of Minnesota
  • Python for Data Analytics: DeepLearning.AI
  • Developing the SIR Model: Imperial College London
  • Python: A Guided Journey from Introduction to Application: Arizona State University
  • Supervised Machine Learning: Classification: IBM

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