Video: .MP4, 1280x720 | Audio: AAC, 48kHz, 2ch | Duration: 30m
Genre: eLearning | Language: English | Size: 226 MB
Everyone is talking about big data these days, but that's just the starting point for drawing high-value, actionable insights from your organization's data.
This course takes students through the entire analytics lifecycle and workflow - beyond today's hype and buzzwords - and describes how any organization can turn their investments in big data into the actionable insights they really need.
Instructor Shokat Ali introduces today's relevant technologies and shows how best to apply them to specific business problems and opportunities within their organization.
By the end of the course, students will understand how the different classes of analytics-descriptive, predictive, and discovery-can lead to prescriptive action.
Topics include
Exploring the analytics taxonomy
Understanding prescriptive analytics fundamentals and workflow
Looking at data warehousing and business intelligence
Exploring big data
Collecting and processing data
Exploring triggering events
Formulating business hypotheses
Refining and enriching business hypotheses
Reaching definitive conclusions
Putting the finishing touches on prescriptive analytics
What you'll learn
Exploring the analytics taxonomy
Understanding prescriptive analytics fundamentals and workflow
Looking at data warehousing and business intelligence
Exploring big data
Collecting and processing data
Exploring triggering events
Formulating business hypotheses
Refining and enriching business hypotheses
Reaching definitive conclusions
Putting the finishing touches on prescriptive analytics
Are there any course requirements or prerequisites?
Basic understanding of different classes of analytics - descriptive, predictive, and discovery.
Who this course is for:
If you aim to solve of business problems with Data
[i][/i]Screenshots
https://rapidgator.net/file/f8ce8712c447a2b49fbdd3ba360a95c6
nitroflare_com:
http://nitroflare.com/view/13121ACDA33168F/Prescriptive_Analytics_for_Business.rar