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  • Programming G Code M Code


Results for "programming g code m code"


  • Status: Free Trial
    Free Trial
    U

    University of London

    Working with Objects in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Model Evaluation, Test Data, Data Validation, Algorithms, Statistical Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    528 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Debugging: A Systematic Approach

    Skills you'll gain: Debugging, Data-oriented programming, Program Development, Python Programming, Data Manipulation, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Houston

    Value-Based Care: Capstone Project

    Skills you'll gain: Value-Based Care, Constructive Feedback, Active Listening, Portfolio Management, Team Oriented, Program Development, Peer Review, Communication, Healthcare Project Management, Quality Improvement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Modeling for Data Science Applications

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, A/B Testing, Quantitative Research, Machine Learning, Model Evaluation

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    55 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    444 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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
    E

    Edureka

    Master DevOps: CI/CD, Automation & Monitoring

    Skills you'll gain: Infrastructure as Code (IaC), AWS CloudFormation, CI/CD, Git (Version Control System), Jenkins, Ansible, Devops Tools, Version Control, Terraform, Docker (Software), Kubernetes, DevOps, Prometheus (Software), Cloud-Native Computing, Continuous Deployment, Containerization, Continuous Integration, Amazon Web Services, Software Development Tools, Configuration Management

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    443 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Financial Risk Management with R

    Skills you'll gain: Portfolio Risk, Financial Market, Risk Management, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Estimation, Statistical Modeling, Simulation and Simulation Software

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    257 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    iOS App Development Basics

    Skills you'll gain: Model View Controller, Apple iOS, Apple Xcode, Swift Programming, User Interface (UI), Mobile Development, UI Components, User Interface and User Experience (UI/UX) Design, Application Frameworks, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    552 reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular programming g code m code courses

  • Working with Objects in C++: University of London
  • Linear Regression in R for Public Health : Imperial College London
  • Python Debugging: A Systematic Approach: University of Michigan
  • Value-Based Care: Capstone Project: University of Houston
  • Statistical Modeling for Data Science Applications: University of Colorado Boulder
  • Exploratory Data Analysis With Python and Pandas: Coursera
  • Supervised Machine Learning: Classification: IBM
  • Master DevOps: CI/CD, Automation & Monitoring: Edureka
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Matrix Methods: University of Minnesota

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