Data Analytics Basics

Data Analytics Basics Tutorial

Data analytics is the process of collecting data in raw form, processing is based on the needs of the user and utilizing it for decision-making purposes. Data analysts and data scientists perform data analysis. This process involves data cleaning, inspection, transformation, 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 the software professionals who wish to learn data analytics.

Why do we need to learn Data Analytics Basics?

• Data analytics helps to acquire problem-solving skills in any type of business as it is used by many professionals and students. This helps to approach the problems analytically and solve them in the most logical way. This helps the user in daily life as well.
• The skill is in high demand right now as there is skills’ shortage globally. Learning basics is the starting point of learning data science and hence machine learning.
• Data is available everywhere and it has become the need of the hour to know how to analyze the data in our hand 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 involved and to recognize the disease easily. This helps in giving proper treatment to the patients.
• Database analytics helps to do the internet search as various data helps 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 the basics of computer programming and analytics. This helps the users to grasp more about data.
• Data analytics helps in recommending the websites to the clients and this is helpful to the users who do data analytics in a perfect manner.

Example

Data analytics is used in real estates to know the way the money is distributed in different areas as this helps in determining the business growth.

Prerequisites

• Experience in handling a large amount of data is good in learning data analytics as it helps to 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 in big organizational level.

Target Audience

Professionals who are interested in analytics and business, in general, can use this tutorial as a beginner's guide. Software professionals with big data background can also grab knowledge of analytics using this tutorial. Degree holders in statistics can boost their career using this tutorial as they have the basics of analytics already.