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  • R Programmierung

Results for "r-programmierung"


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    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Introduction to Operating Systems

    Skills you'll gain: File Systems, Operating Systems, OS Process Management, C (Programming Language), System Programming, Virtualization, Data Integrity, Debugging, Systems Design, Performance Tuning, Distributed Computing, Data Storage, Computer Systems, Command-Line Interface, Virtual Machines, Data Security, Computer Hardware, Scalability, Data Structures, Linux

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Collection, Applied Machine Learning, R Programming, Research, Supervised Learning, Data Validation, Technical Communication, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Introduction to Data Science

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Processing, Sampling (Statistics), Data Science, Data Wrangling, R Programming, Simulations, Data Manipulation, Statistical Methods, Machine Learning Algorithms, Responsible AI, Data Structures

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, Molecular Biology, R Programming, Statistical Analysis, Command-Line Interface, Linux

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Decentralized Finance (DeFi) Infrastructure

    Skills you'll gain: Blockchain, FinTech, Interoperability, Payment Systems, Financial Inclusion, Financial Systems, Cryptography, Digital Assets, Financial Regulation, Banking, Encryption, Computer Security, Governance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Supply Chain Network Optimization Using MILP on RStudio

    Skills you'll gain: Operations Research, Supply Chain, Supply Chain Management, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Process Optimization, Capacity Planning, Production Planning, Data Analysis, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Writing, Running, and Fixing Code in C

    Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    818 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to r-programmierung

r-programmierung zur datenanalyse
1…313233…55

In summary, here are 10 of our most popular r-programmierung courses

  • Bayesian Computational Statistics: Illinois Tech
  • Introduction to Operating Systems: Codio
  • Data Science at Scale - Capstone Project: University of Washington
  • Introduction to Data Science: Ball State University
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • RStudio for Six Sigma - Hypothesis Testing: Coursera
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Decentralized Finance (DeFi) Infrastructure: Duke University
  • Supply Chain Network Optimization Using MILP on RStudio: Coursera
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University

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