What is Data Science | What is the Roadmap for data science?

In this article, you will see what is data science in simple words, its types and a complete roadmap to learn data science.

What is Data Science | What is Data Science in simple words? | What is the Roadmap for data science?

If you are a user of Netflix, prime video or youtube, you noticed that more videos are predicted on the topic in which you are interested. Another example, we use email, then you will find some mail are stored in spam these means email can identify what type of mail it is. And also when we type any chats on mobile, whenever we type something and the spelling is incorrect then it automatically shows the correct spelling at the top of the keyboard, or we can say auto-correct feature.

Now, the basic meaning of data science is to collect some data, then analyse the data and then give some insights. So like this when we take out useful information or insights from data then it is known as the process of data science.

If you have listened to the term artificial intelligence, machine learning then all these things are parts of data science.

Parts of Data Science

1. To collect Data.

2. To Analysis Data.

3. Take out insights from data and use it.

In Today's date, there is fullness of social media, internet os in every second there are millions or billions of data are stored. Before there is a lack of internet so not so much data is stored. So companies use their employees to analyse data. But know it is impossible so there are algorithms, machines, software to analyst the data

So these are the things under data science and by the use of data science we can do many things example we can solve business problems, make interesting projects, we can easily solve real-life projects.

There are five steps to learn Data science:

1 Learning a programming language: 

Read This Article: Top programming languages 2021

There are two programming languages under programming languages:

1. Python: which is used highly in data science and the reason why people use python for data science is that there are highly available libraries and inbuild resources. So by these, we have to work less and the outcomes came more. And it is not required to learn complete python only some topics are required such as loops, basic data types, how to define a variable and 2 important libraries 1 Numpy, 2 Pandas, These libraries mainly used work in data so we have to know these libraries.

2. R: It is less used for data science as compared to python

2. Learning statistics: 

We have studied basic statistics like mean, median, mode, standard deviation, variation in our school time. If we revise these concepts then it helps a lot.

3. Data Visualization:

know we have seen the data, but there is big data is formed and big excel sheets are formed and to know these data it is very difficult. So the solution of these is data visualization, there are two more libraries in python 1 Matplotlib 2 C bond.

4. Machine learning:

Read This Article: What is machine learning.

Machine learning means learning basic maths and basic algorithms which will help us to learn data science.

5. Making a Project (Most important):

To learn data science it is more useful to make a project. Whenever we build our project we learn many concept at once.

Hope this helps you a lot Thank you for reading :)