NumPy – Mathematical Computing with Python

NumPy – Mathematical Computing with Python

NumPy is considered to be the fundamental package for scientific computing in python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations...
Hypothesis Testing

Hypothesis Testing

Hypothesis testing is an inferential statistical technique that determines if a certain condition is true for the population. Hypothesis test studies two opposing hypotheses about a population. Alternative hypothesis (H1) A statement that has to be concluded as...
Introduction to Statistics for Data Analytics

Introduction to Statistics for Data Analytics

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. It’s widely used to understand the complex problems of the real world and simplify them to make well-informed decisions. Tools available to analyze data:...
Data Analytics Communication

Data Analytics Communication

Data Analytics Communication is the last step where the analyzed data is formally presented to stakeholders. Use of several data visualization techniques makes communication effective.  Data analysis can be presented in various forms: – Visual GraphsPlotting...
Data Analytics Hypothesis or Conclusion

Data Analytics Hypothesis or Conclusion

Hypothesis is used in research and analytics to understand the relationship between dependent and independent variables. Hypothesis building can begin in the data exploration stage, but it becomes more mature and perfect in the conclusion or prediction phase. Key...