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    Results for "rmarkdown"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Development Environment, Descriptive Statistics, Statistical Programming, Programming Principles, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics (PT)

      Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Data Quality, Data Collection, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      714 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Vector Databases for RAG: An Introduction

      Skills you'll gain: Database Systems, Data Storage Technologies, Databases, NoSQL, Database Management, Artificial Intelligence, Database Architecture and Administration, Generative AI, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Case Western Reserve University

      Using R for Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Application Frameworks, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Enhancing Reproducible Science with GitHub and Docker

      Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Development Environment, Continuous Deployment, Application Deployment, Software Development Tools, Docker (Software), Continuous Delivery, Containerization, Scientific Methods, Data Sharing, Git (Version Control System), Automation, Software Documentation, Technical Documentation

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      M

      Microsoft

      Mastering Data Wrangling with dplyr

      Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Data Analysis, Data Cleansing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      M

      Microsoft

      The R Programming Starter Course

      Skills you'll gain: Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Development Environment, Data Manipulation, Integrated Development Environments, Data Processing, Scripting Languages, Scripting

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      Retrieval Augmented Generation (RAG)

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, System Monitoring, Application Security, Natural Language Processing, Semantic Web, Artificial Intelligence, Query Languages, Database Systems, Information Management, Algorithms

      Intermediate · Course · 1 - 3 Months

    1234…11

    In summary, here are 10 of our most popular rmarkdown courses

    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • R Programming Essentials with Microsoft Tools: Microsoft
    • Google Data Analytics (PT): Google
    • Introduction to Relational Databases (RDBMS): IBM
    • Vector Databases for RAG: An Introduction: IBM
    • R Programming: Johns Hopkins University
    • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
    • Build RAG Applications: Get Started: IBM
    • Enhancing Reproducible Science with GitHub and Docker: Fred Hutchinson Cancer Center
    • Mastering Data Wrangling with dplyr: Microsoft

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