Finding the Quality in Your Data

Everyone
  • 6 videos | 23m 36s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
  • Certification PMI PDU
Rating 4.3 of 303 users Rating 4.3 of 303 users (303)
Successful data management in the age of big data is a challenge. Applying data quality best practices while making adjustments and optimizations can help your organization meet its business goals. In this course, you'll learn about using data science in data quality management. You'll learn how to determine the quality of data, challenges and solutions for gathering quality data, and how to assess the value of data.

WHAT YOU WILL LEARN

  • There is no objective for the course overview
    Identify the key characteristics that define quality data
    Recognize the advantages of identifying smart data within big data sets
  • Identify the steps for creating a business case for the use of quality data
    Recognize the challenges for effectively gathering quality data and ways to mitigate them
    Recognize the benefits of assessing your data quality

IN THIS COURSE

  • 45s
  • 3m 57s
    During this video, you will learn how to identify the key characteristics that define quality data. FREE ACCESS
  • Locked
    3.  Pulling Smart Data out of Big Data
    4m 23s
    In this video, find out how to recognize the advantages of identifying smart data within big data sets. FREE ACCESS
  • Locked
    4.  Making the Business Case for Quality Data
    5m 3s
    Learn how to identify the steps for creating a business case for the use of quality data. FREE ACCESS
  • Locked
    5.  Quality Data Challenges
    4m 2s
    In this video, you will learn how to recognize the challenges for effectively gathering quality data and ways to mitigate them. FREE ACCESS
  • Locked
    6.  Assessing the Benefits of Quality Data
    5m 26s
    During this video, you will learn how to recognize the benefits of assessing your data quality. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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Digital badges are yours to keep, forever.

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