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  • Data Cleaning

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


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    J

    Johns Hopkins University

    R البرمجة باستخدام لغة

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Simulations, Software Installation, Package and Software Management, Computer Programming, Debugging, Performance Tuning, Data Manipulation, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Linear Algebra, Regression Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    3.1
    Rating, 3.1 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Model Diagnostics and Remedial Measures

    Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Linear Algebra

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    E

    EDUCBA

    Apache Spark: Design & Execute ETL Pipelines Hands-On

    Skills you'll gain: Apache Spark, Extract, Transform, Load, Apache Hadoop, PySpark, Data Pipelines, MySQL, Data Warehousing, Data Validation, Data Transformation, Data Migration, Data Manipulation, Data Import/Export, Development Environment, Software Installation, System Configuration

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: Generative AI Agents, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, OpenAI, Automation, ChatGPT, LLM Application, Prompt Engineering Tools, LangChain, Data Ethics, Tool Calling, Generative AI, Business Process Automation, Large Language Modeling, Performance Testing, Innovation

    4.6
    Rating, 4.6 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    Microsoft Copilot for Power BI: AI-Powered Report Insights

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Microsoft Power Platform, Dashboard, Data Modeling, Business Intelligence, Microsoft Excel, Data Visualization Software, Microsoft Copilot, Data Integration, Data-Driven Decision-Making, Performance Reporting, Data Transformation, Data Cleansing, ChatGPT

    Intermediate · Course · 1 - 4 Weeks

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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Supervised Learning, Deep Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Statistical Methods, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

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    V

    Vanderbilt University

    Qualitative Methods for Quantitative People (with GenAI)

    Skills you'll gain: Large Language Modeling, Responsible AI, LLM Application, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Project Management, Data Ethics, Data-Driven Decision-Making, Data Storytelling, Data Visualization

    2.8
    Rating, 2.8 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 3 Months

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    U

    Universidad Nacional de Colombia

    Sistemas difusos

    Skills you'll gain: Mathematical Modeling, Software Systems, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Logical Reasoning, Arithmetic, Algorithms

    5
    Rating, 5 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Cómo importar datos y crear visualizaciones en Python

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

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1…195196197…742

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

  • R البرمجة باستخدام لغة: Johns Hopkins University
  • Introducción al Aprendizaje Profundo: Universidad Austral
  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
  • Model Diagnostics and Remedial Measures: Illinois Tech
  • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Microsoft Copilot for Power BI: AI-Powered Report Insights: Coursera
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
  • Sistemas difusos: Universidad Nacional de Colombia

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