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Introduction to Data Analytics


What is Data Analytics for Beginners?
Data - What is Data Analytics - Edureka

Data Analytics refers to the techniques used to analyze data to enhance productivity and business gain. Data is extracted from various sources and is cleaned and categorized to analyze various behavioral patterns. The techniques and the tools used vary according to the organization or individual.
So, in short, if you understand your Business Administration and have the capability to perform Exploratory Data Analysis, to gather the required information, then you are good to go with a career in Data Analytics.



New Member
Data analytics is about extracting knowledge from data. It's an indispensable tool for generating insights that drive better business decisions. Its popularity has soared in recent years as companies have exploited its power—for example, through the use of powerful data mining tools and advanced statistical techniques such as machine learning. As a result, demand for data scientists who understand how to apply these tools has also grown exponentially, helping make it one of the fastest-growing disciplines today (see " Data Scientist: The Sexiest Job of the 21st Century "). However, with little formal training on offer in universities and colleges, most people are left to learn those skills and techniques on their own.

Karoake Jaiz

New Member
Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools, and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies to data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. But I have a suggestion for the best data analytics platform. These platform services providers of no-code data analytics. You can easily visible data analytics without any code and zero lines. AI Surge is a fully automated solution to your data. for more information, you can visit our official platform.