Data Driven Organizations

Data Science    |    Intermediate
  • 13 videos | 1h 14m 38s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 50 users Rating 4.4 of 50 users (50)
Examine data-driven organizations, how they use data science, and the importance of prioritizing data in this 13-video course. Data-driven organizations are committed to gathering and utilizing data necessary for a business holistically to gain competitive advantage. You will explore how to create a culture within an organization by involving management and training employees. You will examine analytic maturity as a metric to measure an organization's progress. Next, learn how to analyze data quality; how it is measured in a relative manner, not an absolute manner; and how it should be measured, weighed and appropriately applied to determine the value or quality of a data set. You will learn the potential business effects of missing data and the three main reasons why data are not included in a collection: missing at random, missing due to data collection, and missing not at random. This course explores the wide range of impacts when there is duplicate data. You will examine how truncated or censored data have inconsistent results. Finally, you will explore data provenance and record-keeping.

WHAT YOU WILL LEARN

  • Describe what it means to be data driven and the importance of it for an organization
    Recognize how to enable data-driven decision making
    Identify the different levels of analytic maturity
    Identify the different types of roles required in data driven organizations
    Prioritize resources appropriately
    Describe the aspects of data quality
  • Use powerbi desktop to visualize and manipulate a dataset
    Describe the importance of dealing with missing data and use azure machine learning studio to clean it up
    Describe the importance of identifying and dealing with duplicates using azure data explorer
    Describe what truncated data is and how to remove it using azure automation
    Describe data provenance
    Use informatica data quality

IN THIS COURSE

  • 1m 26s
  • 8m 23s
    Upon completion of this video, you will be able to describe what it means to be data driven and the importance of it for an organization. FREE ACCESS
  • Locked
    3.  Decision Making
    4m 17s
    Upon completion of this video, you will be able to enable data-driven decision making. FREE ACCESS
  • Locked
    4.  Analytic Maturity
    5m 42s
    In this video, you will identify the different levels of analytic maturity. FREE ACCESS
  • Locked
    5.  Analytic Roles
    5m 46s
    In this video, you will identify the different types of roles required in data-driven organizations. FREE ACCESS
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    6.  Data Source Priority
    5m
    In this video, learn how to prioritize resources effectively. FREE ACCESS
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    7.  Facets of Data Quality
    4m 34s
    Upon completion of this video, you will be able to describe the aspects of data quality. FREE ACCESS
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    8.  Power BI Data Visualization
    6m 24s
    In this video, you will learn how to use PowerBI Desktop to visualize and manipulate data. FREE ACCESS
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    9.  Missing Data
    8m 14s
    After completing this video, you will be able to describe the importance of dealing with missing data and use Azure Machine Learning Studio to clean it up. FREE ACCESS
  • Locked
    10.  Duplicate Data
    9m 55s
    Upon completion of this video, you will be able to describe the importance of identifying and dealing with duplicates using Azure Data Explorer. FREE ACCESS
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    11.  Truncated Data
    4m 48s
    Upon completion of this video, you will be able to describe what truncated data is and how to remove it using Azure Automation. FREE ACCESS
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    12.  Data Provenance
    4m 33s
    Upon completion of this video, you will be able to describe data provenance. FREE ACCESS
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    13.  Exercise: Use Informatica Data Quality
    5m 36s
    Learn how to use Informatica Data Quality. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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