Data Analyst and it tools
Data science process flowchart from Doing Data Science. Analysis refers to breaking a whole into its separate components for individual examination. Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. Data is collected and analyzed to answer questions, test hypotheses or disprove theories. Statistician John Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." There are several phases that can be distinguished, described below. The phases are iterative, in that feedback from later phases may result in additional work in earlier phases. The CRISP framework used in data mining has similar steps.
About Me
I have always be a person with exceptional mathematics and computer skills. I am fluent in a number of data management systems software, including Excel, SPSS, STATA, Tora, S plus and data-driven optimization. As much as am in data manipulation, it is the analysis of data that really get me going. I like explore the relationships between numbers, and translate digits and spreadsheets into [login to view URL] the age of big data, these stories become actionable solutions and strategies for businesses, and I take pride in my ability to make data accessible to my client
$ 20 USD/hr
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