Data Principles week 7 part 1

Which technique is used to group items by similarity?

• Classification

• Clustering

• Regression

• Association Rules

What technique should be used to discover relationships between actions or items?

• Time Series Analysis

• Regression

• Association Rules

• Text Analysis

Which technique is appropriate for determining the relationship between the outcome and the input variables?

• Clustering

• Classification

• Regression

• Association Rules

If you want to assign known labels to objects, which technique would you use?

• Clustering

• Classification

• Regression

• Text Analysis

What technique is used to find the structure in a temporal process?

• Clustering

• Classification

• Regression

• Time Series Analysis

Which technique is suitable for analyzing text data?

• Association Rules

• Regression

• Classification

• Text Analysis

What is Data Analytics Lifecycle?

• A process for data collection and storage

• A series of steps to analyze and interpret data

• A method for data visualization

• A tool for data entry

Why do we need the Data Analytics Lifecycle?

• To ensure data is visually appealing

• To provide a structured approach to data analysis

• To increase data storage capacity

• To speed up data entry processes

What are the components in the Data Analytics Lifecycle?

• Data collection, data entry, and data visualization

• Data interpretation, data storage, and data cleaning

• Phases that include key activities, resources, tools, and examples

• Data modeling, data security, and data sharing

What are the key outputs of a successful data science project?

• Detailed reports and presentations

• Increased data storage systems

• Enhanced data entry techniques

• New data visualization software