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    • Data Cleaning

    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: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      GenAI for Code Migration Tasks Training

      Skills you'll gain: Generative AI, Microsoft Copilot, Data Migration, Software Development Tools, Artificial Intelligence, Maintainability, Scalability, Performance Tuning, Kubernetes, Software Versioning, Application Frameworks, Algorithms, Data Structures

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Octave for Machine Learning: Analyze & Visualize

      Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SPSS: Apply & Evaluate Cluster Analysis Techniques

      Skills you'll gain: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Generative AI for Developers: All you need to know!

      Skills you'll gain: Prompt Engineering, ChatGPT, Responsible AI, Generative AI, OpenAI, Microsoft Copilot, Application Development, Business Process Automation, Scripting, Python Programming, Web Applications, Full-Stack Web Development, Data Processing, GitHub, Application Programming Interface (API), Data Analysis, Development Environment, Front-End Web Development, Web Development, Jupyter

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Always Remember the Stakeholder

      Skills you'll gain: Internal Communications, Team Building, Interpersonal Communications, Stakeholder Engagement

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI Responsibly

      Skills you'll gain: Data Security, Sociology, Analysis, Generative AI, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Risk Modeling, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Tensorflow

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Master Decision Trees in R: Build, Predict & Evaluate

      Skills you'll gain: Supervised Learning, Data-Driven Decision-Making, Statistical Modeling

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Q Learning in Reinforcement Training Basics

      Skills you'll gain: Reinforcement Learning, Agentic systems

      Beginner · Course · 1 - 4 Weeks

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    1…130131132…693

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

    • GenAI for Code Migration Tasks Training: Simplilearn
    • Octave for Machine Learning: Analyze & Visualize: EDUCBA
    • The R Programming Environment: Johns Hopkins University
    • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
    • Generative AI for Developers: All you need to know!: Pearson
    • Always Remember the Stakeholder: Google
    • Use AI Responsibly: Google
    • AI for Medicine: DeepLearning.AI
    • Natural Language Processing: DeepLearning.AI
    • Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA

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