Expert Insights on Data Science

IN THIS COURSE

• 1.  The Friday Afternoon Measurement
  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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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