Data Analytics Tools: An overview
Data Analytics Tools: This article will examine nine data analytics tools, as well as a few computer languages that can help you perform analytics more successfully.
Explore ISB Applied Business AnalyticsThe following data analysis tools will be discussed:
Microsoft ExcelPythonRJupyter NotebookApache SparkSASTableau byMicrosoft Power BIKNIMEMicrosoft Excel: Excel is the most well-known spreadsheet software in the world. Excel is a must-have in any sector, regardless of specialisation or other software requirements. Its built-in capabilities are invaluable, it has data-analysis-friendly calculations and graphing functions, including pivot tables (for sorting or summarising data) and form development tools. It also offers a number of other capabilities that help to speed up data manipulation. For example, the CONCATENATE function combines text, integers, and dates into a single cell. SUMIF allows you to generate value totals depending on variable criteria, and Excel's search tool allows you to easily isolate certain data.
Explore IIML Executive Programme in Data Science Type of utility: Spreadsheet software Availability: Commercial Usage: For data manipulation and reporting.Python Python is a computer language with several applications. It is a must-have for any data analyst. Unlike more sophisticated languages, its emphasis on readability, and its widespread use in the computer industry means that many programmers are already familiar with it. Python is also incredibly adaptable, with a plethora of resource libraries suited to a
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