Computer Productivity - HM202

It is a branch of mathematics and statistics used to obtain meaningful insights about data set and trends.

• Data Science
• Algorithm
• Analytics
• Machine Learning

It is use by the organization to find insight and hindsight in the existing data set to describe various trends in the data set.

• Data Science
• Business Intelligence
• Data Analytics
• Machine Learning

This involves the systematic investigation of data or statistics.

• Data Science
• Algorithm
• Analytics
• Machine Learning

There is a hidden pattern in every data set, and you need to find those patterns to make the required predictions. To do this, you need to use.

• Predictive casual analytics
• Unsupervised machine-learning algorithm
• Supervised machine-learning algorithm
• Prescriptive analytics

You need to take the required decisions and modify the parameters based on the data set or question. To do this, you need to use.

• Predictive casual analytics
• Machine Learning
• Pattern discovery
• Prescriptive analytics

These tool/s can be used to access data from various storage platforms to create a reusable and repeatable model.

• ACCESS or SAS
• R
• RENO
• SQL

It is the 5th phase in the data science lifecycle

• Operate the model
• Prepare data
• Plan the model
• Build the model

It is the 2nd phase in the data science lifecycle

• Operate the model
• Plan the model
• Prepare data
• Build the model

This tool provides a set of methods used to perform analysis within the database using different predictive models and mining functions.

• RENO
• SAS
• R
• SQL

If you want to develop a model to predict the possibilities or outcomes of a futuristic event, you need to use.

• Pattern Discovery
• Machine Learning
• Prescriptive analytics
• Predictive causal analytics