DATA ANALYSIS
is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.[1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.[2] In today’s business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.[3]
BASIC STEP'S FOR DATA ANALYSIS
STATISTICS
1 . Descriptive statistics
(Measures of central tendency , Measures of dispersion , Frequency distributions)
2 . Inferential Statistics
(Hypothesis testing , Confidence interval , Regression Aanlysis)
3 . Regression Analysis
(Linear regression , Logistic regression , Polynomial regression)
3 . Time Series Analysis
(Moving averages , ARIMA , Exponential smoothing)
DATA PROCESSING
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DATA VISUALISATION
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