Data is the raw set of numbers related to the field, it can be related to anything, starting from raw material to final product, employees at a lower level to CEOs, Sales to HR, and many more. Data Analytics is the methodology of converting raw data into useful means as such to define the answers to different questions. It interprets the data for further decision-making.
Why Data Analytics?
In every organization whether small, middle, or big or an MNC, data is a huge part of and plays an important role in its growth. Making data more successful in the organization, requires a specialist to do the same task which is done by a data analyst.
Shortly demand will increase as per the current scenario and will prove to be a great source not only for the growth of the organization but for an individual also.
What are its requirements?
If you are an individual who has an interest in playing with data and loves to analyze the same, then it is for you, you can just compete with consistency, you don’t need to have a computer background. You need to have basic knowledge of MS Excel, and Python.
Even if you don't have any basic knowledge about the same, no worries, you will see during the action. During the course, you will learn how various tools are used to analyze the data.
How long will it take?
The duration depends upon the consistency and the methodology you use.
Various YouTubers will help you to become a data analyst and make your future more bright. It can be done for 3 months to as long as you want to and as long as you can.
What are the components of a Data Analyst?
During the process of Data Analysis, one does the cleaning, modeling, and visualization of the data and analyzes it for the organization's needs. To analyze data, the core components of analytics are divided into the following categories:
- Descriptive
- Diagnostic
- Predictive
- Prescriptive
- Cognitive
It helps the organization in finding out how the value of its assets can be increased.
What are the tasks of a Data Analyst?
It is required to learn what a Data Analyst does, he prepares the data and models it as per his need and visualizes it accordingly, further he analyzes the data and manages it to make useful and relevant decisions for the growth of the organization. The following image will show the major task to be performed by an analyst:
Source: Microsoft
Some Good Sayings That Will Motivate You:
“There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days.” - Eric Schmidt, Executive Chairman at Google
“No data is clean, but most are useful.” - Dean Abbott, Co-founder and Chief Data Scientist at SmarterHQ
“It is a capital mistake to theorize before one has data.” - Sherlock Holmes in “A Study in Scarlet” by Arthur Conan Doyle.
Why Is Data Analysis Done? What Are Its Basic Uses?
Every organization differs in the services being provided to them and the use of the data and its analysis differs simultaneously. Some of the basic uses are:
Clarity understanding of the data
Helps to ascertain the flaws in the working
Helps in maintaining the present and future steps according to the past activities
What are the areas where we are lacking behind can also be ascertained
Realigning the company’s vision
Help to interpret the decision taken as per the past experiences
How to maintain the retention rate of employees can also be ascertained.
Future of Data Analysis
It will focus on data freshness which will goal on real-time analysis of the same and enables effective decision making. Not only effective decision-making will also help in bringing a competitive advantage to the company.
In conclusion, for one who is still deciding what they should do in the future, Data Analysis can prove to be an armor for them and it creates furthermore opportunities to grow their career to significant heights. Data Analysis is going to be a demanding course and a more job opportunity-providing field. Not only large companies but small companies are going to use the same.
Written By - Khushi Bansal
Edited By - Riya Dabas
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