Expert Insights on Data Science

Everyone
  • 14 videos | 39m 23s
  • Earns a Badge
Take control of the future by making better decisions in the face of the uncertainty that comes with it. As leaders, we must embrace the data revolution and learn ways to leverage our data for solving problems.

WHAT YOU WILL LEARN

  • Acquire insights on how the friday afternoon measurement improves performance.
    Acquire insights on why tom redman sees data as our best hope for solving our biggest problems and offers ideas about how leaders can embrace the data revolution and answer these questions.
    Acquire insights on how data provocateurs provide valuable skills and possess critical behaviors that organizations need to survive in the era of big data.
    Acquire insights on understanding there’s a strong likelihood that you’re unwittingly adding to your organization’s data quality issues. learn what you can do about it.
    Acquire insights on understanding that numbers about data don’t lie. bad data is rampant, and many organizations are losing out because of it.
    Acquire insights to understand that most of the data we use is rife with errors, thereby creating hidden data factories of work that unnecessarily wastes time and money.
    Acquire insights on learning to take control of the future by making better decisions in the face of the uncertainty that comes with it.
  • Acquire insights on understanding that to effectively manage your data, you must treat your data and your data technology separately.
    Acquire insights on improving the quality of your data starts with tackling basic data errors.
    Acquire insights on understanding what data scientists do and what makes a great data scientist.
    Acquire insights on understanding what quality data is what makes it fit for purpose.
    Acquire insights on grasping the key concepts in data science.
    Acquire insights on working with your data creators to achieve greater results.
    Acquire insights on learning to think and act like a data scientist.

IN THIS COURSE

  • 2m 42s
    You can’t manage what you don’t measure, and that goes for data quality. Learn how the Friday Afternoon Measurement improves performance. FREE ACCESS
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    2.  Embrace the Data Revolution
    3m 15s
    Tom Redman shares his thoughts on why he sees data as our best hope for solving our biggest problems and offers ideas about how leaders can embrace the data revolution and answer these questions. FREE ACCESS
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    3.  I Love Data Provocateurs
    1m 59s
    Data provocateurs provide valuable skills and possess critical behaviors that organizations need to survive in the era of big data. FREE ACCESS
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    4.  Are You Contributing to the Data Quality Problem?
    2m 54s
    There’s a strong likelihood that you’re unwittingly adding to your organization’s data quality issues. Here’s what you can do about it. FREE ACCESS
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    5.  Startling Stats About Data
    2m 45s
    The numbers about data don’t lie. Bad data is rampant, and many organizations are losing out because of it. FREE ACCESS
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    6.  The Hidden Data Factory
    3m 2s
    Most of the data we use is rife with errors, creating hidden data factories of work that unnecessarily wastes time and money. FREE ACCESS
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    7.  Becoming Data-Driven
    3m 15s
    Take control of the future by making better decisions in the face of the uncertainty that comes with it. FREE ACCESS
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    8.  Managing Data and Technology Separately
    2m 17s
    Technology is continuing to shape the business environment. And while technology facilitates the collection and storage of vast amounts of data, it doesn’t automatically create better data. To effectively manage your data, you must treat your data and your data technology separately. FREE ACCESS
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    9.  Improving the Quality of Your Data
    2m 20s
    As data sets grow, any problems or inaccuracies they contain grow along with them. Over time, small data errors can corrupt or devalue a whole data set. Tackling basic data errors is simple, and it makes an immediate impact. FREE ACCESS
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    10.  What Do Data Scientists Do, and What Makes a Great Data Scientist?
    2m 50s
    With the increased availability of “big data” comes an increased demand for data scientists and data analysis. By analyzing big data, data scientists can discover insights into customer needs. Great data scientists go further, and merge their data analysis with a deeper understanding of the world around them. FREE ACCESS
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    11.  What is Quality Data, and What Makes Data Fit for Purpose?
    2m 39s
    In the drive to achieve high volumes of accurate data, we sometimes lose sight of what comprises quality data. Accurate data and quality data are not the same thing. Accuracy is important, but equally important – arguably, more so – is finding data that’s relevant and actionable for your organization. FREE ACCESS
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    12.  Grasping the Key Concepts in Data Science
    3m 32s
    For someone starting out in data, the terminology can be confusing. Grasping these two keys concepts will help alleviate this confusion. First, a datum consists of a data model and a data value. And second, the data model provides the structure, while the data value provides the content. FREE ACCESS
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    13.  Working With Your Data Creators to Achieve Greater Results
    2m 52s
    If you depend on data to do your job, data errors are costly, time-consuming, and frustrating. But why are there errors in the data? And what can you do to eradicate them? The answer could be as simple as reaching out to your data creators and starting a conversation. FREE ACCESS
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    14.  Thinking and Acting Like a Data Scientist
    3m 2s
    We can all take the principles of data science and apply them to our working lives. From your daily commute to a broader analysis of how you spend your day, thinking and acting like a data scientist will bring greater efficiency to everything you do. FREE ACCESS

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