What is Data Science? Introduction, Basic Concepts & Process

Introduction of Data Science

Data science was launched in 2001 and it was first done by William Cleveland. Fast forward to the present day, and every company wants to hire data scientists. Every company wants to do data science and without data schemes at this time every work is incomplete whether in India or in worldwide.

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What is data science?

Data science is a similar method, with the help of which more amounts of data can be managed. That integrates ideas and techniques from the domains of mathematics, statistics, artificial intelligence, and computer engineering Data science means to analyze the large quantity of data.

Just like we analyze data with the help of Excel, in the same way data science also does the same thing, Data Science to manage and analyze large quantity of data. If you have a lot of data and out of that you want find the name and number of a person. If you want, you can do it easily with the help of data science.

Important Concept  of Data Science

By means of data science we study large and complex data sets, collect meaningful information from them, and use them in decision making and problem-solving. It uses advanced algorithms, machine learning techniques statistical models, and data visualization tools.

1 Business Analytics: Data science helps of businesses and organizations in data visualization decision making. Under this market analysis, customer segmentation, data management, data visualization, forecasting sales etc.

2 Machine Learning: Data science follow the algorithms of machine learning, it helps the computer system to complete the classification and prediction task of data for example: recommendation systems, image recognition, language processing, And anomaly detection.

3 Data Visualization:  Data visualization is done with the help of data science. So that the data can be easily understood and analyzed. Data visualization is a way of understanding the data and the tools it contains, under which graphs, and interactive dashboards are used.

4 Big Data Analysis: With the help of data science, we can manage big data, without data science, we cannot manage large amount of data, so data science is done for it, with its help, data is analyzed and visualized.

Read more : what is python


: What is Data Science? Introduction, Basic Concepts & Process

Data Science tools

A data scientist has to manage a large amount of data, it has to be analyzed, this work is not an easy task, it is very difficult, many tools are used to make this work easy.

Python: You must have known about Python, Python is a programming language which is very much used in data skins, the first choice of every data scientist is Python and it is easy to use.

R Programming: This is a programming language specially developed for data visualization and data analysis and machine learning. mostly it is used for data analysis.

Excel: This is one of the best application Data Science which is mostly used in data science like saving data.

SQL: SQL is a programming language whose full name is Structured Query Language, it is also used to manage data, whereas this is a database language, it is used mostly.

Hadoop: Apache Hadoop: is one of the most popular tools  for data Science  and This is open source. it can be easily used for datasets.

how to become a data scientist

1 : To become a Data Scientist, you will have to collect a lot of knowledge in the field of Data Science as well as degree and you will have to take the knowledge of Data Science from a good college or coaching.

2:  To become a Data Scientist, it is very important to have good knowledge of any high programming language. like Python

3 : To do analyze of data, you have to understand statics closely like data analysis, data cleaning and data visualization.

4: Machine learning is also needed in data science, you also need to have basic knowledge of it.

Top 2 YouTube Channel Name – Data Science

You can learn it

1 : Codebesics

2 : Edureka

Summery :

Data science is very popular and it is developing day by day, if it remains the same then it can be seen in the future if you want to make a career in data science then this is the best option for you. Paying salary and many more new things are available to learn, you can read it both online or offline, it is necessary to have knowledge of one type of it.

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