Basics of Data Science and Toolbox of a Data Scientist

Defining the question

Creating reproducible code

Challenging results

All of the above

Java

Ruby

R

None of the above

Find only one solution for particular problem

Find out the question which is to be answered

Find out answer from dataset without asking question

None of the above

Afraid to say they do not know the answer

Willing to find answers on their own

Not willing to find answers on their own

All of the above

Data is not ready for analysis

All steps should be noted

Hard to use for data analysis

None of the above

True

False

Statistics

Machine Learning

Data Visualization

All of the mentioned

Data cleansing

Data integration

Data replication

All of the above

True

False

True

False

Data mining

Big data

Data wrangling

Machine learning

Stream computing

Content management

Information integration

All of the above

cd cd. cd.. None of the above Delete rm Clear None of the above Record control Version control Forecast control None of the above