Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10734-10738 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4333118419/2019©BEIESP | DOI: 10.35940/ijrte.D4333.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Analytics is having the huge potential to improve any business. Due to the increase in the technological developments, the data is collected, interpreted and analyzed everywhere. The power and the impact of the data is huge. Previously, the Managerial decisions were taken based on the experience or by the gut insights. But now, the Data Analytics is made it easy to improve the possibilities of making better decisions based on data. The primary focus of this research article is to summarize about how to work with data to make better managerial decisions. This article introduces about the statistical concepts in the right flow which will drive to inferences about the population regardless of the tools used.
Keywords: Summary Statistics, Exploratory Data Analysis, Sampling, Hypothesis test, Linear Regression Analysis.
Scope of the Article: Regression and Prediction.