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  • Advanced R Programming

Results for "advanced r programming"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    452 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    56 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn React

    Skills you'll gain: React.js, UI Components, Front-End Web Development, Web Content Accessibility Guidelines, User Interface (UI), JavaScript Frameworks, Interaction Design, Web Development Tools, Event-Driven Programming, Web Frameworks, Cascading Style Sheets (CSS), Application Programming Interface (API)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Variables and Nested Loops

    Skills you'll gain: Debugging, Computational Thinking, Digital pedagogy, Education Software and Technology, Programming Principles, Computer Programming, Algorithms, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Intro to Operating Systems 3: Concurrency

    Skills you'll gain: OS Process Management, Operating Systems, System Programming, Performance Tuning, C (Programming Language), Data Structures, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universitat Autònoma de Barcelona

    Motores gráficos en videojuegos: game engine

    Skills you'll gain: Video Game Development, Computer Graphics, 3D Assets, Microsoft Visual Studio, C++ (Programming Language), Artificial Intelligence, User Interface (UI), Animations, Application Development

    3.9
    Rating, 3.9 out of 5 stars
    ·
    105 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular advanced r programming courses

  • Statistics for Data Science with Python: IBM
  • Approximation Algorithms Part II: École normale supérieure
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • More Applied Data Science with Python: University of Michigan
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Learn React: Scrimba
  • Introduction to PySpark: Edureka
  • Computational Thinking for K-12 Educators: Variables and Nested Loops: University of California San Diego
  • Intro to Operating Systems 3: Concurrency: Codio

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