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Data Cleaning Courses Online

Learn data cleaning techniques for preparing datasets. Understand how to identify and correct errors, handle missing data, and ensure data quality.

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Explore the Data Cleaning Course Catalog

  • Status: Preview
    Preview
    D

    Duke University

    Foundations of Local Large Language models

    Skills you'll gain: Responsible AI, Generative AI, LLM Application, Cloud Applications, Application Deployment, Large Language Modeling, Data Ethics, Prompt Engineering, Risk Management Framework, Open Source Technology, Rust (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Emory University

    Reproducible Templates for Analysis and Dissemination

    Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Classification And Regression Tree (CART), Feature Engineering, Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Processing, Data Store, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    تحليل البيانات الاستكشافية

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib

    Intermediate · Course · 1 - 3 Months

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1…200201202…698

In summary, here are 10 of our most popular data cleaning courses

  • Foundations of Local Large Language models: Duke University
  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Reproducible Templates for Analysis and Dissemination : Emory University
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • PyCaret: Anatomy of Regression: Coursera Project Network
  • Introduction to RNN and DNN: Packt
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Feature Engineering en Español: Google Cloud
  • تحليل البيانات الاستكشافية: Johns Hopkins University

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