The phrase \"data analytics\" refers to the act of analyzing datasets in order to derive conclusions about the information contained within them. Data analysis techniques allow you to take raw data and derive important insights from it by uncovering patterns.

Many data analytics approaches nowadays rely on specialized systems and software that combine machine learning algorithms, automation, and other features.

Data analytics is a collection of quantitative and qualitative methods for extracting useful information from data. It entails a number of steps, including data extraction and categorization in order to generate numerous patterns, interactions, connections, and other useful insights. Almost every firm has evolved into a data-driven organization today, which means they are implementing a strategy to acquire more data on their customers, markets, and business processes. This information is then classified, saved, and analyzed in order to make sense of it and get useful insights.

Businesses may use data to better understand their consumers, optimize their advertising efforts, tailor their content, and boost their profits. The benefits of data are numerous, but you can\'t take use of them without the right data analytics tools and methods. While raw data has a lot of promise, data analytics may help you harness the power to build our company. In their research, data scientists and analysts apply data analytics methodologies, and companies use it to guide their judgments. Data analysis may assist businesses in better understanding their clients, evaluating their advertising efforts, personalizing content, developing content strategies, and developing new goods. Finally, firms may employ data analytics to improve their bottom line and raise their performance.

For businesses, the data they employ might be historical data or new information gathered for a specific project. They may also get it directly from their customers and site visitors, or they can buy information from other businesses. Data acquired by a corporation about its own consumers is referred to as first-party data; data obtained from a recognized entity that collected it is referred to as second-party data; and aggregated data purchased from a marketplace is referred to as third-party data. Data regarding an audience\'s demographics, interests, and actions, among other things, may be used by a firm.

Data Analytics MCQs: This section contains multiple-choice questions and answers on the various topics of Data Analytics.

 

questions

Title
Data Analytics uses ___ to get insights from data

Data Analytics uses ___ to get insights from data.


  1. Statistical figures
  2. Numerical aspects
  3. Statistical methods
  4. None of the mentioned above
discuss
Amongst which of the following is / are the branch of statistics which deals with the development of statistical methods is classified as ___

Amongst which of the following is / are the branch of statistics which deals with the development of statistical methods is classified as ___.


  1. Industry statistics
  2. Economic statistics
  3. Applied statistics
  4. None of the mentioned above
discuss
Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable

Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.


  1. Linear line
  2. Nonlinear line
  3. Curved line
  4. All of the mentioned above
discuss
Amongst which of the following is / are the types of Linear Regression,

Amongst which of the following is / are the types of Linear Regression,


  1. Simple Linear Regression
  2. Multiple Linear Regression
  3. Both A and B
  4. None of the mentioned above
discuss
Amongst which of the following is / are the true about regression analysis?

Amongst which of the following is / are the true about regression analysis?


  1. Describes associations within the data
  2. Modeling relationships within the data
  3. Answering yes/no questions about the data
  4. All of the mentioned above
discuss
Linear regression analysis is used to predict the value of a variable based on the value of another variable

Linear regression analysis is used to predict the value of a variable based on the value of another variable.


  1. True
  2. False
discuss
A Linear Regression model's main aim is to find the best fit linear line and the ___ of intercept and coefficients such that the error is minimized

A Linear Regression model's main aim is to find the best fit linear line and the ___ of intercept and coefficients such that the error is minimized.


  1. Optimal values
  2. Linear line
  3. Linear polynomial
  4. None of the mentioned above
discuss
Error is the difference between the actual value and Predicted value and the goal is to reduce this difference

Error is the difference between the actual value and Predicted value and the goal is to reduce this difference.


  1. True
  2. False
discuss
The process of quantifying data is referred to as ___

The process of quantifying data is referred to as ___.


  1. Decoding
  2. Structure
  3. Enumeration
  4. Coding
discuss
Text Analytics, also referred to as Text Mining?

Text Analytics, also referred to as Text Mining?


  1. True
  2. False
discuss
___ are used when we want to visually examine the relationship between two quantitative variables

___ are used when we want to visually examine the relationship between two quantitative variables.


  1. Bar graph
  2. Scatterplot
  3. Line graph
  4. Pie chart
discuss
A graph that uses vertical bars to represent data is called a ____

A graph that uses vertical bars to represent data is called a ____.


  1. Bar graph
  2. Line graph
  3. Scatterplot
  4. All of the mentioned above
discuss
Data Analysis is a process of,

Data Analysis is a process of,


  1. Inspecting data
  2. Data Cleaning
  3. Transforming of data
  4. All of the mentioned above
discuss
Least Square Method uses ___

Least Square Method uses ___.


  1. Linear polynomial
  2. Linear regression
  3. Linear sequence
  4. None of the mentioned above
discuss
What is a hypothesis?

What is a hypothesis?


  1. A statement that the researcher wants to test through the data collected in a study
  2. A research question the results will answer
  3. A theory that underpins the study
  4. A statistical method for calculating the extent to which the results could have happened by chance
discuss
Linear-regression models are relatively simple and provide an easy-to-interpret mathematical formula that can generate ___

Linear-regression models are relatively simple and provide an easy-to-interpret mathematical formula that can generate ___.


  1. Predictions
  2. Interpretation
  3. Conclusion
  4. None of the mentioned above
discuss
Amongst which of the following is / are the applications of Linear Regression,

Amongst which of the following is / are the applications of Linear Regression,


  1. Biological
  2. Behavioral
  3. Social sciences
  4. All of the mentioned above
discuss
With reference to data, dependent and independent variables should be quantitative

With reference to data, dependent and independent variables should be quantitative.


  1. True
  2. False
discuss
For each value of the ___, the distribution of the dependent variable must be normal

For each value of the ___, the distribution of the dependent variable must be normal.


  1. Independent variable
  2. Depended variable
  3. Intermediate variable
  4. None of the mentioned above
discuss
Residual plot helps in analyzing the model using the values of residues

Residual plot helps in analyzing the model using the values of residues.


  1. True
  2. False
discuss
total MCQs: 64

MCQs

64

Views

175

Best Answers

299

Points

5