Data analytics is the process of collecting data in raw form. Processing is based on the user's needs and utilizing it for decision-making purposes. Data analysts and data scientists perform data analysis. This process involves data cleaning, inspection, transformation, and modeling to understand data from its raw form. Business intelligence needs data analytics to perform its operations. A large amount of data is unstructured, and it has to be collected from various sources. This tutorial includes the prerequisites and the basics for software professionals who wish to learn data analytics.

Why do we need to learn Data Analytics Basics?

Data analytics helps acquire problem-solving skills in any business as many professionals and students use it. This helps to approach the problems analytically and solve them most logically. This helps the user in daily life as well.
The skill is in high demand as there is a global skills shortage. However, learning basics is the starting point of learning data science and machine learning.
Data is available everywhere, and it has become the need of the hour to know how to analyze the data in our hands and to understand how our data is being analyzed for various businesses.

Applications of Data Analytics Basics

It helps in health care to know various cases of different diseases and to analyze the data to help the patients understand the risk and recognize the disease easily. This helps in giving proper treatment to the patients.
Database analytics helps to do the internet search as various data help to collect information in searching the data.
The analytics helps in determining the images and doing speech recognition. Clustering the images and determining their groups is one of the applications of Data analytics.
Data analytics is easy to learn and can be mastered by anyone with computer programming and analytics basics. This helps the users to grasp more about data.
Data analytics helps in recommending the websites to the clients and is helpful to the users who do data analytics perfectly.

Example

Data analytics is used in real estate to know how the money is distributed in different areas as this helps determine the business growth.

Prerequisites

Experience handling a large amount of data is good in learning data analytics as it helps manage the data of various formats.
Knowledge of SQL and database helps the user to manage the data well and analyze it in the required manner.
The processing and management of unprocessed and unsupervised data are needed at a high organizational level.

Target Audience

In general, professionals interested in analytics and business can use this tutorial as a beginner's guide. In addition, software professionals with big data backgrounds can also grab analytics knowledge using this tutorial. Finally, degree holders in statistics can boost their careers using this tutorial as they already have the basics of analytics.