Have you ever experienced auto-correct in your smartphone? Or have you received the same type of videos suggestion, you’re watching on youtube, Netflix, or amazon prime. These all are done by a data scientist and this is called “data science”. That’s we’re going to discuss these all in this blog.

Data science

Do you know? According to a prediction, the data science sector will be more than 16 billion $ by 2025. The average base salary of a Data scientist is more than 10LPA. And this can be more if you’re a little experienced, according to Glassdoor.

Data science

Now, we will discuss it in detail. We will be looking at what is it, Courses & Careers in this sector as well.

What is Data Science?

Data science is the process of extracting meaning from data. This can be done through the use of statistics, machine learning, and other scientific techniques. Data science has become an important field in recent years. It is used in a variety of industries, including healthcare, finance, and manufacturing.

Data scienceOne of the main advantages of data science is that it can be used to make predictions. For example, data science can be used to predict how many people will visit a hospital in the next month or how much money a company will earn in the next year.

data science
Another advantage of data science is that it can help us understand complex systems. By analyzing large amounts of data, we can gain insights into how different parts of a system are related. For example, data science can be used to gain insights into how different parts of an economy are related.

Data science is also useful for explaining relationships within data. After collecting and analyzing the data, we may find that it contains patterns that can’t easily be explained by existing theories. This can inspire new hypotheses which could then be tested through further research.

In addition to the advantage of prediction, data science also allows companies to gain a better understanding of their business. They can use this information to make decisions and set strategies.

Job Role of Data Scientist

data science

A Data scientist’s Job role is to investigate, procure, structure, and analyze data using statistical methods. The Job Role of a Data scientist can be categorized into three main areas:

  •  Collecting the data
  •  then, Prepare the data for further analysis
  • And then, conducting statistical tests on the data

The Job Role of a Data scientist often begins with getting hold of relevant datasets that are required for analyzing and making sense out of them. After acquiring the dataset, depending upon what it is that needs to be done with this Data scientists will decide whether they need to clean it or not before they proceed further.

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It also includes understanding and comprehending what kind of information can be gained from such datasets. The Job Role of a Data scientist is dynamic in nature and the data scientist will need to adapt according to their requirements.

Once they are satisfied with the patterns that they see in the data, Data Scientists then work on converting these findings into meaningful insights or knowledge that can be used for specific purposes like making decisions, predictive modeling, etc.

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For instance, when it comes to converting them into knowledge, if the dataset contains information about which customers are likely to buy a product or not given certain conditions, then this information can be used by companies so as to identify potential customers who might purchase their products.

Free courses on Data Science

According to Simplilearn, the data scientist is the highest paying job in the IT sector. See the image below:

Data science

So, It’s necessary to learn data science first in order to make a career here. We’ve come up with the 2 best courses to learn data science for free. Here are the resources to learn it:

How to start as a Data Scientist?

So, you want to become a data scientist? Becoming a data scientist is not an easy task. It requires a lot of hard work and dedication. However, if you are willing to put in the effort, you can definitely become a data scientist. So, where should you start? The first step is to learn some basic programming skills. Python is a great language to start with, as it is easy to learn and has many libraries that are useful for data science tasks.

Once you have learned some basic programming skills, you can start learning about data mining and analysis techniques. There are many online courses and tutorials available that can teach you these techniques.

Finally, once you have learned the basics of data mining and analysis, you can learn about big data. Big data is a fast-growing industry, and mastering the art of working with big datasets will be extremely beneficial for your career.

Here are the top 5 important languages to learn for Data science:-
  • Python
  • Java
  • Javascript
  • C/C++
  • R


If you really want a career transition from the non-tech to the tech sector, then being a data scientist can be a great choice. It has almost everything from flexibility to a good package. We hope you’ve enjoyed this one. Best of luck from team Fzfact 🙂




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