The power of statistics: Techniques I Learned in the Technical Field


 "During My Learning Journey, I found that there are innumerable statistical techniques applied in the technical world. Here, I present before you some of the methods which I learned and explored "



 Regression Analysis

This will give us an idea of how the variables are interrelated. For example, using previous data, it will project what happens in the future and in this way will be of very great help in making a decision

Hypothesis Testing

This way, we ensure whether all our assumptions about the data are right or wrong. It was handy when we were in the development cycle of software and should have checked whether those new features actually improve performance or not.

 Descriptive Statistics 

Here, there were some basic measures like mean, median, and mode included in it. They let us summarize big data-sets so that people can be able to see the kind of patterns existing over there.

Time series Analysis

This technique is used for time series data. It helps in the prediction of various items, for instance, the number of sales or traffic on a website.

Clustering

It helps in the grouping of similar data so that clustering can be used in aiding the customers with segmentation and recommendation systems.

Overall, all of these statistical techniques taught to me have definitely improved my data analysis ability and the importance of data in the technical field.

References:

Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2011). Essentials of Modern Business Statistics with Microsoft Excel. Cengage Learning.

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