User:Yatheendran KS

DATA:- Spreadsheet data is information that is stored in any spreadsheet program such as Excel or Google Sheets. Data stored in cells in a worksheet can be used in calculations, displayed in graphs, or sorted and filtered to find specific information.

DATA ANALYSIS :- The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this course, you will learn how to perform data analysis using Excel's most popular features.

PRESENTATION OF DATA :- This refers to the organization of data into tables, graphs or charts, so that logical and statistical conclusion can be derived from the collected measurements. Data may be presented in(3 Methods): - Textual - Tabular or - Graphical.

DATA WAREHOUSING:- A data warehousing is defined as a technique for collecting and managing data from varied sources to provide meaningful business insights. ... It is the electronic storage of a large amount of information by a business that is designed for query and analysis instead of transaction processing.

DATA CLEANSING :- Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a recordset, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

DATA VISUALISATION:- Data visualization is a graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions. Example for visualization tools are Tableau, Qlik view, fusion chart, Microsoft Power Bi.