Data Mining for Business Analytics

The course content material is devoted to the functions of machine studying and knowledge mining to enterprise evaluation. The intent is to present a high-level overview of the potential of machine studying and knowledge mining in numerous areas and, extra particularly, the realm of enterprise analytics. The primary sections are:

1. Core concepts of the info mining course of – this part covers the definitions of the ideas of knowledge mining, large knowledge, enterprise analytics and enterprise intelligence.

2. Fundamentals of exploratory knowledge evaluation – this part covers EDA with R.

3. Visualizing advanced knowledge units – on this half the primary visualizations utilized in enterprise analytics and superior knowledge evaluation are mentioned intimately.

4. Housing valuation with a number of linear regression – this part covers the essential steps of the info mining course of utilizing housing valuation instance.

5. Retailer reductions with random forest and pure language processing – on this part, the subject of machine studying strategies, similar to, resolution timber and random forest, is examined. An instance of retailer reductions is given for instance the appliance of pure language processing and random forest to text-rich knowledge.

6. Market basket evaluation with unsupervised machine studying – on this part unsupervised machine studying strategies, similar to, Apriori and associative guidelines are examined intimately. An instance with market basket evaluation is given for instance the appliance of Apriori and associative guidelines.