Exploring the Fundamentals of Data Science

What is Data Science primarily about?

• The process of using data to understand the world

• A specific event in the scientific community

• A branch of mathematics

• A software development process

How does Data Science help in strategic decision-making?

• Through financial analysis only

• By developing new software tools

• Through uncovering insights and trends in data

• By creating complex algorithms

What forms of data does Data Science work with?

• Neither structured nor unstructured forms

• Structured form only

• Both structured and unstructured forms

• Unstructured form only

What analogy is used to describe Data Science?

• Like learning a new language

• Like painting a picture

• Like studying biology in biological sciences

• Like solving a mathematical equation

When did the term 'Data Science' start to become popular?

• In the 1980s and 90s

• In the 2010s

• In the 1960s

• In the 2000s

What is a key characteristic of Data Science?

• Focusing solely on scientific data

• Working with data to find answers

• Ignoring the data deluge

• Relying on expensive software

What is essential for working in Data Science?

• Having a background in physics

• Owning the most expensive computer

• Having a degree in Data Science

• Being curious and having data to explore

What has contributed to the data deluge?

• The decrease in data generation

• The lack of internet connectivity

• The reduction of data storage options

• The abundance of data available

How has the availability of software changed for Data Science?

• It is less accessible

• It has become open source and free

• It remains largely unchanged

• It has become more expensive

Why is today considered a great time to be a data scientist?

• Because of the abundance of data and tools

• Due to the high cost of data storage

• Because algorithms are not available

• Because of the lack of data