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Cleaning Bad Data in R

Data integrity is the new focal point of the data science revolution. Now that everybody is onboard with the role of data in people's lives and business, it's not an unfair question to ask, "Can you prove that your data is accurate?" In this course, you can learn how to identify and address many of the data integrity issues facing modern data scientists, using R and the tidyverse. Discover how to handle missing values and duplicated data. Find out how to convert data between different units and tackle poorly formatted text. Plus, learn how to detect outliers, address structural issues, and identify red flags that indicate potential data quality issues.
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    LinkedIn Learning

    Rating Not enough ratings
    Length 1h 54m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Mike Chapple
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects IT & Networking Data Science
    Tags IT Big Data

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    Careers

    An overview of related careers and their average salaries in the US. Bars indicate income percentile.

    Data Integrity Clerk $38k

    Data integrity Administrator $53k

    EMR Data Integrity Spec $58k

    Data Integrity Reconciliation Analyst $59k

    Data Integrity Analyst - Vanguard $63k

    Data Integrity Analyst 1 $68k

    HIM Data Integrity Specialist $70k

    EMR Data Integrity Specialist $72k

    Data Integrity Operations Specialist $76k

    Institutional Data Integrity Analyst $85k

    Data Integrity Engineer $94k

    Analyst, Data Integrity Group $97k

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    LinkedIn Learning

    Rating Not enough ratings
    Length 1h 54m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Mike Chapple
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects IT & Networking Data Science
    Tags IT Big Data

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