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Data Cleaning Courses

Data cleaning courses can help you learn techniques for identifying and correcting errors in datasets, handling missing values, and standardizing data formats. You can build skills in data validation, outlier detection, and transforming raw data into a usable format. Many courses introduce tools like Python libraries such as Pandas and NumPy, as well as software like OpenRefine, that support executing data cleaning tasks efficiently and ensuring data quality for analysis.

Popular Data Cleaning Courses and Certifications


  • D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Data Science, Predictive Analytics

    4.7 stars, 862 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (862) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    John Wiley & Sons

    Machine Learning: Real-World Applications

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Ethics, Image Analysis, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Computer Vision, Machine Learning Methods, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    BiteSize Stats: Correlation and Regression Analysis

    Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Predictive Analytics, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Estimation, Data Literacy, Sampling (Statistics), Anomaly Detection

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • T

    Taipei Medical University

    Artificial Intelligence in Bioinformatics

    Skills you'll gain: Bioinformatics, Informatics, Model Training, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Technical Communication, Machine Learning Methods, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, AI Workflows, Random Forest Algorithm, Artificial Intelligence, Predictive Modeling, Molecular Biology, Natural Language Processing, Biology, Data Analysis

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Model Evaluation

    4.7 stars, 2K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Structures, Python Programming, Data Analysis, Algorithms

    4.7 stars, 937 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.7 (937) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • B

    British Standards Institution

    AI Technical Risk Controls

    Skills you'll gain: Risking, Statistical Methods, Data Ethics, Model Evaluation, Vulnerability Assessments, Statistical Hypothesis Testing, Performance Testing, Verification And Validation, Statistical Analysis, Decision Intelligence, Artificial Intelligence, Artificial Neural Networks, Supervised Learning, Ethical Standards And Conduct, Continuous Monitoring, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis, Law, Regulation, and Compliance, Probability & Statistics

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • V

    Vanderbilt University

    Build Apps with AI — From Idea to Working Product

    Skills you'll gain: Engineering Software, Software Engineering, Application Design, Prompt Engineering, Systems Engineering, Generative AI Agents, No-Code Development, Application Development, LLM Application, Product Requirements, Development Testing, AI Workflows, AI literacy, Software Testing, Verification And Validation, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Generative AI, ChatGPT

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7 stars, 2.1K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Unit Testing, Data Cleansing, Object Oriented Programming (OOP), Object Oriented Design

    4.2 stars, 1.5K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.2 (1.5K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google

    कॉन्टेंट क्रिएशन के लिए एआई

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • E

    EDUCBA

    Applied Deep Learning and neural networks

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Convolutional Neural Networks, Exploratory Data Analysis, Feature Engineering, Tensorflow, Model Training, Predictive Modeling, Transfer Learning, Applied Machine Learning, Machine Learning Methods, Application Development, Predictive Analytics, Model Evaluation, Machine Learning, Network Model, Analytics, Network Architecture, Design

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
1…190191192…834

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

  • Machine Learning Foundations for Product Managers: Duke University
  • Machine Learning: Real-World Applications: John Wiley & Sons
  • BiteSize Stats: Correlation and Regression Analysis: University of Colorado Boulder
  • Artificial Intelligence in Bioinformatics: Taipei Medical University
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • AI Technical Risk Controls: British Standards Institution
  • Build Apps with AI — From Idea to Working Product: Vanderbilt University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Mastering Software Development in R: Johns Hopkins University

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