What is data analysis? Who is a data analyst? Post-33
What is data analysis? Who is a data analyst?
In recent times, the demand for data has increased manifold compared to the past. Now the more data one has, the more powerful one is considered. After all, we are all hostages to the one who has the most data in his collection. However, analysis is needed to refine this huge amount of data and find important data from it. Today we will try to know in detail what data analysis is, how it is done and other related topics.
The process of changing, enhancing, cleaning and transforming any “raw” data (Row Data) for the purpose of decision making is called data analysis. That is, data analysis is the process of deciding what to do now by combining past mistakes and future dreams for business or personal development.
We know that the current time is the golden age of data. At this time, the more data an organization has, the stronger the organization. We Google, Facebook, and everything we see are dominated by data. Everything that happens on the internet today is based on data. Facebook and Google have data on almost every internet user.
Suppose you search for a watch on Google. After a while, when you check your notifications on Facebook, you see that there is an ad for a watch or a page that sells watches. So how did Facebook read your mind that you are looking for a watch?
Facebook did this by buying your search data from Google, analyzing it with their algorithm, and launching this ad campaign specifically for your profile. In this way, all the ads we see online are created by analyzing our data.
On the other hand, if you want to leave your competitor behind, you need to collect the necessary data by conducting complete market research. From that data, you need to find out how your competitor is selling well. Later, you need to implement the new method created based on that data in your business. Automation or a data analyst will do this entire job.
The skills that a data analyst must have are described below. Data analysis and synthesis. It is most important for a data analyst to have the knowledge of data analysis. Because with this skill, he will be able to examine the raw data and organize it in a classified manner. Usually, the analyst’s job is to maintain things like where the data came from, what it will be used for, what subject the data will be organized based on
After arranging this data correctly, the synthesis work will begin. That is, an analyst should have the knowledge to ensure whether the data collected and analyzed are correct, whether this data is sufficient or insufficient, how to collect more necessary data, etc.
Programming Knowledge
We are most familiar with the Excel program as a method of data analysis. However, currently, the programming languages Python and R are well known for data analysis. Even very large datasets that cannot be analyzed with Excel can be easily done with Python.
There is no alternative to the Python language for big data analysis. Although the main purpose of creating the R language is to analyze data, Python is more powerful and easier to learn. You can easily modify, change and refine data with Python.
Statistics and Mathematics
Data science is a very difficult subject. Various logics and techniques are used here. To understand these and organize the data, you need to have a good understanding of statistics and mathematics.
Otherwise, the process of collecting, interpreting and displaying data will not be completed properly. The purpose for which the data is collected and analyzed will never be fulfilled. In short, if you have good statistical knowledge, you can skip many basic things for data analysis, which will save both time and money.
Data Management
Data management is a very important issue in the data analysis process. Data management manages issues ranging from data protection to data partitioning, data storage, sorting, arranging, etc.
A very popular system for data management is to use a data management program. Currently, SQL is a very powerful technology for big data management. In addition to analyzing big data using SQL language, the data can be made usable in various projects.
Data Visualization
After analyzing the data, the task is to display that data. Many of us will have seen that diagrams or something like this are used to display the data easily. In the language of data analysis, this is called visualization.
“Raw” data is analyzed and made suitable for display using charts, graphs, tables, maps and other visualization methods. This makes it easier to understand the data and make decisions accordingly and it works 100%. You can use apps or services like Microsoft Power BI, QlikView, Datawrapper, D3.js, Google charts, Excel, etc. to visualize data.
Machine Learning (Artificial Intelligence)
We are all aware of ChatGPT. It is an artificial intelligence program that is made up of about 300 billion words and is constantly growing.
If you can learn machine learning or AI, you can present yourself to the world as a data scientist. Moreover, using this method, it is possible to make a lot of improvements in the data analysis sector, which OpenAI has already shown.
Project Management
In addition to having the above skills, you must have the ability to manage projects as a data analyst. Although project management skills are not that important for data analysis, you will need this skill to present your analyzed data to everyone in the office environment and manage communication.
What is the career of a data analyst like?
What is the career of a data analyst like 1
Before knowing what the career of a data analyst is like, we need to know in which sectors it is used. Below is the list of industries in which data analysts are needed.
Business
Health and medicine
Intelligence agencies
Research organizations
Data analysis is done in the above sectors. In such industries, each position is very high-level. Because their activities are carried out based on the data provided by the analyst. If for some reason the data is not correct, they waste a lot of money and the quality of their services deteriorates.
In short, the salary of a data analyst in developed countries of the world, including America, ranges from 50 to 80 thousand. On the other hand, a data analyst in the country earns around 25 to 35 thousand.
At the rate at which the demand for data is increasing around the world, data analysis skills are a golden opportunity. That is, its salary and demand will continue to increase day by day. Therefore, the career of a data analyst shines like a diamond.
