What is data science? Some Concepts on Data Science Statistics
Data science is the best job of the 21st century. Its demand is increasing day by day. It plays a huge role in the performance of almost all kinds of organizations.
Currently, a lot of data or information is being produced. If you give a like on Facebook, it is considered data. Important information can be extracted from such a large number of data. Many tasks can be done using the data. This is the basic foundation of data science. Finding the required information and applying it.
A section of data science is data analytics. Suppose a company’s annual sales data. From here you can find out which product has been sold the most, at what time it has been sold more, and where it has been sold more. To do this, you can use a bar chart, You can display that information in the graph, scatter plot, box plot, etc. This is the work of data analytics. I hope I have given you some idea.
Another important part of data science is machine learning. It is the foundation of modern artificial intelligence. If you want to teach a computer something, you need to show it data. From that data, machine learning algorithms search for patterns and make important decisions. Like you Want to make a program that can distinguish a picture of a cat or a dog.
Then your program needs to display a lot of pictures of dogs and cats. From there, the machine learning algorithm can distinguish the cat from the dog by observing the eyes, nose, mouth, etc. in the picture. Finally, you need to test how well your machine can make correct decisions. If it’s not correct you need to re-enter more data or use another algorithm.
Today, almost everything on the Internet runs on data science. YouTube gives you new video recommendations based on your video viewing patterns on YouTube. They recommend new products based on what you have previously bought or visited on Amazon or Daraz.
Currently, data science is also being used for patient identification in hospitals. And there is news of robots, automatic cars, etc. It goes without saying that a large number of data scientists are working behind these. The demand for this is constantly increasing and new dimensions are constantly being added to this field.
Correlation is simply how one factor is related to another factor. And causation is finding out what is the cause.
For example, the year there is a flood, the crop will be bad. It is a correlation. But it cannot be asserted that the crop will be bad because of a flood. Many other things have to be kept in mind.
Think online paper news original “Griezmann spat in Neymar’s face.”
“What is the need for girls to study?”
“Educated girls are the root of society’s destruction.”
“These girls don’t count husbands when they start earning their own.”
I left the dirty comments.
The reason for divorce may be that the husband tortures, may not take care of the family, and may not be able to manage. There are a thousand reasons. But I can guarantee that “educated” and “independent” girls are not the reason for divorce.