NYU Data Analytics Discussion

Description

1.What is the importance of Business Analytics to the future success of your profession, organization, or an organization of interest to you?

2.Discuss the importance and implementation of key success metrics

3.Discuss the Data Modeling Process

4.Discuss how Business Intelligence tools influence the data modeling process

5.Discuss the descriptive statistical measure of your your choice, and its significance in descriptive analytics. (Mention a use case or an Example)

6.The different applications and use cases of clustering.

7.Predictive business analytics methods: forecasting/smoothing

8.Forecasting with Smoothing Models Applications in R

9.Describe an example of how sensitivity analysis of an optimization model could be used to allocate resources more effectively

10.Discuss an example where you’ve been invovled in the life cycle management or deployment of an analytics model.

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