English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 42m | 78 MB
Business analytics encompasses a set of tools, technologies, processes, and best practices that are required to derive knowledge from data. It’s an iterative and methodical exploration of data to derive insights from it—and, in turn, make smarter, more strategic decisions that are grounded in facts. In this course, learn about the stages in business analytics that are used to predict and build the future—predictive analytics, prescriptive analytics, and experimental analytics. This course dives into each stage, discussing the tools and techniques used for each, as well as best practices leveraged in the field. In addition, the course lends a real-world context to these concepts by using a use case to demonstrate how to execute analytics in each stage.
Topics include:
- What is business analytics?
- How business analytics compares to business intelligence and data science
- Business analytics process
- Predictive analytics tools and techniques
- Best practices for prescriptive analytics
- Scope and process of experimental analytics
Table of Contents
Introduction
1 Welcome
Business Analytics (BA)
2 What is business analytics
3 Business analytics compared
4 Stages of business analytics
5 Business analytics process
6 Course use case
Predictive Analytics (PRA)
7 PRA definition
8 PRA tools and techniques
9 PRA use case
10 PRA best practices
Prescriptive Analytics (PSA)
11 PSA definition
12 PSA tools and techniques
13 PSA use case
14 PSA best practices
Experimental Analytics (EXA)
15 EXA definition
16 EXA tools and techniques
17 EXA use case
18 EXA best practices
Conclusion
19 Next steps
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