Python and Business Analytics Essentials

What is the purpose of data visualization?

• To create complex algorithms

• To store data in a database

• To increase data processing speed

• The purpose of data visualization is to make data understandable and accessible through visual representation.

Which of the following is a popular business intelligence tool?

• MS Excel

• Google Drive

• Dropbox

• Tableau

What do we use to define a block of code in Python language?

• 1. Key

• 1. Brackets

• 1. Indentation

• 1. None of these

What is the primary function of business analytics?

• To develop new product designs and prototypes.

• To create marketing strategies for social media.

• To manage employee performance reviews.

• To analyze data for informed decision-making and improved business performance.

Which of the following is not a major data analysis approaches?

• Predictive Intelligence

• Data mining

• Business Intelligence

• Text Analytics

What is the role of Python in data analysis?

• Python plays a crucial role in data analysis by providing libraries and tools for data manipulation, numerical analysis, and visualization.

• Python is only useful for game development.

• Python has no libraries for data analysis.

• Python is primarily used for web development.

Which character is used in Python to make a single line comment?

• $

• #

• !

• //

Which chart type is best for showing trends over time?

• Line chart

• Scatter plot

• Pie chart

• Bar chart

What is a key feature of Tableau as a business intelligence tool?

• Interactive data visualization capabilities

• Static report generation

• Limited data connectivity

• Basic spreadsheet functionality

What is the difference between descriptive and predictive analytics?

• Descriptive analytics explains past data; predictive analytics forecasts future events.

• Descriptive analytics is used for data visualization; predictive analytics is used for data storage.

• Descriptive analytics focuses on real-time data; predictive analytics is only for static data.

• Descriptive analytics predicts future trends; predictive analytics analyzes historical data.