Data Analysis Techniques & Practices

Analysing data helps to make meaningful business decisions, improve efficiency and profits. Appropriate interpretation of numerical data will strengthen the ability to make significant impact in providing, using or evaluating data for improved business performance.

PROCLAD Academy’s Data Analysis Techniques & Practices training course introduces statistical techniques. It explains and builds upon the fundamentals of statistical analysis, including probability, the normal distribution and standard deviation. Graphical tools such as the histogram, scatter plot and regression charts are introduced. The course also describes important terminology and includes examples which illustrate the use of key tests such as the F and Z tests; defines the meaning of capability, variation and control charts, and examples illustrate why they are useful.

The key features of PROCLAD Academy’s Data Analysis Techniques & Practices training course are:

  • Interpretation of large data sets
  • Modeling and ‘what-if’ scenarios
  • Establishing data integration
  • Developing dynamic dashboards and scorecards
  • Designing key performance indicators

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