What can be defined as Data Science?

• Data science is performing experiments and recording the data produced by those experiments

• It is the study of extracting meaningful insights from data

• Using computers to analyse data and to perform calculations on the data to produce information

• Writing code to make sure that any inaccuracies in data sets are spotted and removed

How does data science play a part in the internet?

• It can help companies make accurate product recommendations and decide how to advertize their products to maximize results

• It provides data to the internet to show answers when a question is searched

• It helps with decision making to the client

• Data science does not play a part in internet browsing

What is the role of data science in machine learning?

• Data science is not related to machine learning

• Data science provides the algorithms and techniques used in machine learning

• Data science is responsible for building physical machines for machine learning

• Data science only focuses on data collection

How can data science benefit businesses?

• Data science has no impact on business operations

• Data science can help businesses make informed decisions based on data analysis

• Data science is only useful for academic research

• Data science is limited to data storage

What is the importance of data visualization in data science?

• Data visualization is not relevant in data science

• Data visualization helps in presenting data in a clear and understandable way

• Data visualization is only used for entertainment purposes

• Data visualization is a separate field unrelated to data science

How does data science contribute to the field of artificial intelligence?

• Data science is not related to artificial intelligence

• Data science provides the data required for training AI models

• Data science focuses on building physical robots for AI applications

• Data science only deals with data storage for AI systems

Why is data preprocessing important in data science?

• Data preprocessing is not necessary in data science

• Data preprocessing helps in cleaning and preparing data for analysis

• Data preprocessing is only done for academic purposes

• Data preprocessing is a separate task handled by non-data scientists

What is the significance of statistical analysis in data science?

• Statistical analysis is not relevant in data science

• Statistical analysis helps in making predictions and drawing conclusions from data

• Statistical analysis is only used for data visualization

• Statistical analysis is a field independent of data science

Data science can analyze human DNA

• True

• False

What is the branch of AI based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention?