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sirmirt data big data analytics
sirmirt data business analysis
The big data phenomenon gives a spotlight on those who perform in-depth analysis and can link it to quantitative or statistical modeling expertise with business acumen in finding patterns that foretells the performance, growth and future endurance of a company. Data scientists rely on analytics, data mining, sentiments, and predictive models in drawing insights from
sirmirt data analytics
Regression analysis helps us understand effect level of the independent variable on the response variable. It also gives more insight on the relationship between the two variables. We can look at an example of a survey where the age of individuals and their salary was captured. To understand if the education of an individual affects
Sirmirt Data Visualization
Visualization is an analytical way of converting data into visual context like graphs and maps.  This process helps to convert both big and small data into an easier way that would enable human brain to easily understand. Visualization makes it easier to detect trend, patterns and outliers in a group of data. Tableau is the
Sirmirt Data Collection for M&E
Introduction Data is classified into two broad categories; Quantitative and Qualitative, based on the techniques employed in the field to gather and analyze data/facts. Researchers need to choose the most suitable methods that can be helpful in collecting relevant and viable data/facts, suiting the monitoring and evaluation of the given project.  There is a distinction
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