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 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
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1m 26s
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8m 23sUpon 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
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3. Decision Making4m 17sUpon completion of this video, you will be able to enable data-driven decision making. FREE ACCESS
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4. Analytic Maturity5m 42sIn this video, you will identify the different levels of analytic maturity. FREE ACCESS
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5. Analytic Roles5m 46sIn this video, you will identify the different types of roles required in data-driven organizations. FREE ACCESS
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6. Data Source Priority5mIn this video, learn how to prioritize resources effectively. FREE ACCESS
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7. Facets of Data Quality4m 34sUpon 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 Visualization6m 24sIn this video, you will learn how to use PowerBI Desktop to visualize and manipulate data. FREE ACCESS
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9. Missing Data8m 14sAfter 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
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10. Duplicate Data9m 55sUpon 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 Data4m 48sUpon 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 Provenance4m 33sUpon completion of this video, you will be able to describe data provenance. FREE ACCESS
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13. Exercise: Use Informatica Data Quality5m 36sLearn how to use Informatica Data Quality. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
