Business Analytics

Data is the basis for any kind of an analysis, so data is an essential part of quality analysis. Then again data alone cannot support better conclusion. To aid in better and enriched data representation data needs to be sorted and then analyzed. It’s for this reason you need to learn everything from data collection to data representation.

A lot has been said about data. Let’s first understand what is data?

Data is any fact or statistics which is collected together for future reference or analysis.
Summarizing data
You company has compiled a huge set of data and given it to you. You're thinking what to do? So currently you have collected your data, and you have got results from multiple trials of an experiment. Now, how does one go from piles of raw data to summaries which will assist you analyze your data and support your conclusions? Fortunately, there are mathematical summaries of your data which will convey plenty of data with simply some numbers. These summaries are referred to as descriptive statistics. There are various ways to summarize data. Some of them are:
• Frequency distribution
• Grouped frequency distribution
• Cumulative frequency distribution
• Stem leaf diagram
• Line plots

There are different quantities, which can be used to estimate the central point of a sample which is called measures of central tendency. It can be measured by:
Median :
Mode :
Symmetry and Skewness:
It deals with the shape of the distribution of a data set, i.e. whether it is symmetric or skewed to one side or the other. The approximate shape of a distribution can be determined by looking at a histogram.

Data Collection and Management Framework includes:
• Data collection mechanism
• Maintaining a data dictionary • Missing value imputation
• Outlier treatment

Data being the foundation for all analysis, so it forms a major and vital step in data analysis. It is basically an elaborate process and has a lot of detailing and precision to it. EduPristine has a vast coverage of these topics, to learn more about it, write an email to us at

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