Practice Components Of Data Science (16.4) - Concepts of Data Science

Practise this section

11 questions

Flashcard drill
5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is the first step in the Data Science process?
Show hintHide hint
Think about how research begins.
Question 2.
Why is data cleaning important?
Show hintHide hint
Consider the impact of 'dirty' data.
3Question 3.
What is the process of gathering data from various sources?
- Data Cleaning
- Data Collection
- Data Analysis
Show hintHide hint
Think about what happens before any analysis.
4Question 4.
True or False: Data cleaning is unnecessary if data is collected accurately.
- True
- False
Show hintHide hint
Consider surprises that might arise even with accurate data.
Question 5.
A company has collected vast amounts of sales data over the last five years. Describe a plan to clean and analyze this data for trends on seasonal sales variations.
Show hintHide hint
Consider how seasonal trends affect sales.
Question 6.
Discuss how improper data cleaning could lead to yanlış conclusions in a Data Science project. Provide a hypothetical scenario illustrating potential consequences.
Show hintHide hint
Think about real-world business applications and their reliance on accurate data.

7 more questions in this section. Enroll free to practise them all.