Utilising time during this pendamic situation....

21 days of lockdown was easy to spent but now it's continuously increasing, not possible to go out and do anything, but it's very important to utilise this time in good ways.

For all of them who want to do something interesting "Data science" is one of the best option.

Data science : Data science is related to data mining, deep learning and big data.

Data science is the field which involves scientific methods, processes, algorithms and systems to extract the knowledge and insights from many structural and unstructural data. 

Here we will understand it with below 👇diagram:

Data science, it's a process which is the graphical representation of data, the field which encompasses analysis, preparing data for analysis and presenting findings to high level decision in the organisation.

It incorporates skills from computer science, mathematics, statistics, information visualization, graphic design and business.

Statistics

The field encompasses analysis, preparing data for analysis, and presenting findings to inform high-level decisions in an organization. As such, it incorporates skills from computer science, mathematics, statistics, information visualization, graphic design, and business.

Many statisticians, including Nate Silver, have argued that data science is not a new field, but rather another name for statistics.Others argue that data science is distinct from statistics because it focuses on problems and techniques unique to digital data. Data science as an applied field growing out of traditional statistics.In summary, data science can be therefore described as an applied branch of statistics.

Early and morden Data science

It's an alternative name of computer science and new, interdisciplinary concept, with three aspects: data design, collection, and analysis.

The modern conception of data science as an independent discipline, an expansion of statistics beyond theory into technical areas; because this would significantly change the field, it warranted a new name. "Data science" become more widely used in the next few years. 

Career and education

Data science is a growing field. A career as a data scientist is ranked at the third best job in the world 😍.

In order to become a data scientist, there is a significant amount of education and experience required. The first step in becoming a data scientist is to earn a bachelor's degree, typically in a quantitative field.Coding bootcamps are also available and can be used as an alternate pre-qualification to supplement a bachelor's degree.Most data scientists also complete a master’s degree or a PhD in a quantitative/scientific field.Once these qualifications are met, the next step to becoming a data scientist is to apply for an entry-level job in the field.Some data scientists may later choose to specialized in a sub-field of data science.

In this pendamic online learning is the best way grab and increase your knowledge about Data science. Specialization needs to focus:

Machine learning scientist

Data analyst

Data consultant

Data Architect

Application Architect

Big data is very quickly becoming a vital tool for businesses and companies of all sizes.The availability and interpretation of big data has altered the business models of old industries and enabled the creation of new ones.

There are a variety of different technologies and techniques that are used for data science which depend on the application. More recently, full-featured, end-to-end platforms have been developed and heavily used for data science and machine learning.