Data Driven Organizations
Data Science
| Intermediate
- 13 Videos | 1h 14m 38s
- Includes Assessment
- Earns a Badge
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
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describe what it means to be data driven and the importance of it for an organizationrecognize how to enable data-driven decision makingidentify the different levels of analytic maturityidentify the different types of roles required in data driven organizationsprioritize resources appropriatelydescribe the aspects of data quality
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use PowerBI Desktop to visualize and manipulate a datasetdescribe the importance of dealing with missing data and use Azure Machine Learning Studio to clean it updescribe the importance of identifying and dealing with duplicates using Azure Data Explorerdescribe what truncated data is and how to remove it using Azure Automationdescribe data provenanceuse Informatica Data Quality
IN THIS COURSE
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1.Course Overview1m 26sUP NEXT
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2.Data Driven Organizations8m 23s
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3.Decision Making4m 17s
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4.Analytic Maturity5m 42s
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5.Analytic Roles5m 46s
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6.Data Source Priority5m
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7.Facets of Data Quality4m 34s
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8.Power BI Data Visualization6m 24s
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9.Missing Data8m 14s
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10.Duplicate Data9m 55s
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11.Truncated Data4m 48s
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12.Data Provenance4m 33s
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13.Exercise: Use Informatica Data Quality5m 36s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.