Course Description

Entering into Data Analytics without having the proper level of human interaction often results in disappointment. There are numerous examples showing that optimum performance is achieved when combining machine led analytics with people led knowledge. This knowledge needs to first include a solid understanding of the process, both at the operator and technical support level. And then we add to this knowledge the various statistical and management tools required within each step of the Data Analytics journey, which will be the focus of this one day course.

Who should attend (Suitability and application)

This course is designed for people who use data, such as data analysts, decision makers and managers.

Training Content

• Introduction to Practical Data Analytics

o Machine led analytics and People led knowledge.

o Understanding Variation.

• Reports: What happened?

o The “K” in KPI, and creating a KPI Tree.

o Visual Management Boards, Control Charts and driving actions.

• Data Analysis: Why did it happen?

o Arming yourself with Basic Statistics and concept of significance.

o Identifying the most significant factors which influence (both positively and negatively) a desired outcome.

o Regression and Anova.

• Predictive Analytics: What can happen?

o Prediction through analysis of data.

o Monte Carlo.

o Historical Data Mining.

• Optimization: How should it happen?

o Introduction to Design of Experiment and Simulation Modeling.

Course delivery details

This is a 1 day interactive course offering, with examples in each of the four stages.

Costs

Please inquire.

Includes course material in PDF format, and certificate.

Certification (Degree and Diploma)

Data Analytics Certificate