What is Data Science? How to be a data scientist?

What is Data Science?

Suppose you are watching a Data Science video. When you finish the video, the system will suggest to you the more relevant videos in the sidebar or on your screen. SO, you will get more information.

Again, you are searching on Google for Data Science. Google will give you a lot of results. While you can get more and more information about Data Science.

So, here the main points are: Data Science uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from unstructured/ structured data for advanced analysis.

Whilst, you are finding a piece of proper information about Data Science after that, the Data Science process will analyze all the data they have. Therefore, you can get proper information one by one. This is Data Science.

Through this process, you can solve a lot of business problems, you can create a lot of business models, you can make projects, you can solve real-life problems of course.

How to be a Data Scientist?

You need to follow 5 steps to be a data scientist. The steps are:

1. Learn a programming language

a) Python

Of course, you need to learn Python because it has massive resources. A lot of libraries Python has.

However, remember one important thing that you don’t need to learn the whole Python programming language. But, you have to learn all the basics of the Python programming language.

In Python, you have to learn Panda and Numpy because these libraries are used for data especially.

b) R

You can learn the R programming language. However, most people are using Python.

2. Learn statistics

You have to gather knowledge about statistics.

3. Data visualization

For Data visualization, you can create graphs, tables, charts. Actually, whatever you need you can create for Data visualization.

However, you have to learn the two Python libraries Matplotlib and Seaborn. You can learn these two whole libraries or you can learn the basics of these two libraries.

4. Machine learning

You how to use algorithms in data science you have to learn about that. It’s a part of Machine learning.

How to use maths in Machine learning you have to learn about that.

If you learn these two objects then, you can analyze how to use algorithms in data science and you can analyze the process of the system.

5. Projects again and again

If you really want to be a data scientist, you have to do a lot of projects. Because the more you project, the more you learn.

For your project, you can use kaggle.com.