Prescriptive Analytics: Business Intelligence & Data Science
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 928 MB
Duration: 2.5 hours | Genre: eLearning Video | Language: English

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

Requirements

Basic understanding of different classes of analytics - descriptive, predictive, and discovery.

Description

Master the art of converting your investments in today's buzzwords like big data into the actionable insights !

Please read the course description before enrolling !

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

Who this course is for:

If you aim to solve business problems with Data



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