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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: Free Trial
      Free Trial
      P

      Packt

      Python for Data Analysis and Automation

      Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Storage Technologies, Data Storage, Scripting, Data Manipulation, File Management, Software Installation

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Assessment for Data Analysis and Visualization Foundations

      Skills you'll gain: Data Mining, Dashboard, Data Collection, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Wrangling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      310 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Data and Applications

      Skills you'll gain: Software Testing, Unit Testing, Software Documentation, Application Programming Interface (API), Web Applications, Test Driven Development (TDD), Debugging, Restful API, Performance Testing, Maintainability, Javascript, Full-Stack Web Development, Software Architecture, JSON, Data Transformation

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      I

      Illinois Tech

      Data Modeling and Applications

      Skills you'll gain: Database Management Systems, Database Design, Database Architecture and Administration, Databases, Relational Databases, SQL, Data Modeling, Query Languages, Data Integrity, Data Manipulation, Data Security

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure Data Storage Solutions

      Skills you'll gain: Microsoft Azure, Azure Synapse Analytics, Data Integration, Cloud Storage, Data Lakes, Data Pipelines, Data Storage, Databricks, Microsoft SQL Servers, NoSQL, .NET Framework, Data Security, Real Time Data, Encryption, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Power BI: Data Visualization and Analysis

      Skills you'll gain: Business Intelligence, Data Presentation, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Analytics, Power BI, Pivot Tables And Charts, Dashboard, Key Performance Indicators (KPIs), Performance Reporting, Data Analysis, Scatter Plots, Business Reporting, Trend Analysis, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      440 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Weather Data in BigQuery

      Skills you'll gain: Big Data, Analytics, Query Languages, Google Cloud Platform, Data Processing, Data Analysis, Data Integration, Time Series Analysis and Forecasting

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      How Science Turns Data Into Knowledge

      Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Joining Data in R using dplyr

      Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analyst Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Professional Development, Data Analysis, Recruitment, Data Storytelling, Relationship Building, Presentations, Analytical Skills, Portfolio Management, Business Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Issue Tracking, Unit Testing, Disaster Recovery

      3.6
      Rating, 3.6 out of 5 stars
      ·
      18 reviews

      Advanced · Course · 1 - 3 Months

    Data Cleaning learners also search

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    1…606162…689

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

    • Python for Data Analysis and Automation: Packt
    • Assessment for Data Analysis and Visualization Foundations: IBM
    • JavaScript Data and Applications: Microsoft
    • Data Modeling and Applications: Illinois Tech
    • Azure Data Storage Solutions : Whizlabs
    • Power BI: Data Visualization and Analysis: Whizlabs
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Weather Data in BigQuery: Google Cloud
    • How Science Turns Data Into Knowledge: University of Michigan
    • Joining Data in R using dplyr: Coursera Project Network

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