Data analysis is a process of inspecting, cleansing, transforming, and modelling data to discover useful information, informing conclusions, and support decision-making.
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.
Data Analysis tools
R and Python
R and Python are the top programming languages used in the Data Analytics field. R is an open-source tool used for Statistics and Analytics whereas Python is a high level, interpreted language that has an easy syntax and dynamic semantics. Python and R are developing their features and functionalities to ease the process of Data Analysis with high speed and accuracy.
Companies such as ANZ, Google, Firefox use R, and other multinational companies such as YouTube, Netflix Facebook use Python.
Tableau is a market-leading Business Intelligence tool used to analyze and visualize data in an easy format. Being named as a leader in the Gartner Magic Quadrant 2020 For the eighth consecutive year, Tableau allows you to work on live data-set and spend more time on Data Analysis rather than Data Wrangling.
Tableau Public is a free Tableau software that you can use to make visualizations but you need to save your workbook or worksheets in the Tableau Server which can be viewed by anyone.
Multinational organizations such as Citibank, Deloitte, Skype, and Audi use Tableau to visualize their data and generate meaningful insights.
Microsoft Excel is a platform that will help you get better insights into your data. Being one of the most popular tools for Data Analytics, Microsoft Excel provides the users with features such as sharing workbooks, work on the latest version for real-time collaboration, and adding data to Excel directly from a photo and so on.
Almost all organizations use Microsoft Excel on a daily basis to gather meaningful insights from the data. A few of the popular names are McDonald’s, IKEA, Marriot.
In today’s business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.