Digital Data Analytics
Pixelman
Regular price
$1,800.00
Sale
Duration: 30 Hours in Class
Data and Analysis in the Real World
We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context, Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
Analytical Tools
In this module, we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.
- A course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained
- A digital student resources folder containing Tableau workbooks and data sources to support the hands-on activities
- 90 days access to Tableau eLearning to discover self-paced, guided learning paths and earn digital badges (public classroom attendees only)
- This course provides a Certification of Completion