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Questions and Answers

What type of graph is used to check the relationship between two variables?

Pair plot

What is a common step in data cleaning?

Removing duplicates

What type of analysis involves examining the relationship between multiple variables?

Multivariate analysis

What is a common method for handling missing data?

Removing missing values Signup and view all the answers

What is the purpose of exploratory data analysis (EDA)?

To understand the characteristics of the data Signup and view all the answers

What type of algorithm is used in Classification Algorithms I?

Decision Trees Signup and view all the answers

What is the purpose of data cleaning?

To ensure data quality Signup and view all the answers

What type of graph is used to check for outliers?

Box plot Signup and view all the answers

What is the primary purpose of introducing Data Governance in the data science course?

To enable the future workforce to acquire data science skills early in their educational phase and build a solid foundation to be industry ready. Signup and view all the answers

What is the main objective of Exploratory Data Analysis?

To develop critical thinking capabilities among students. Signup and view all the answers

What is the primary application of Decision Trees in Classification Algorithms?

Creating a Decision Tree. Signup and view all the answers

What is the main advantage of using K-Nearest Neighbors (K-NN) in Classification Algorithms?

It is a simple and effective algorithm for classification problems. Signup and view all the answers

What is the purpose of Cross Validation in Classification Algorithms?

To evaluate the performance of a model. Signup and view all the answers

What is the primary goal of Regression Algorithms in data science?

To predict continuous outcomes. Signup and view all the answers

What is the main difference between Mean Absolute Error and Root Mean Square Deviation?

Mean Absolute Error measures the average difference between predicted and actual values, while Root Mean Square Deviation measures the square root of the average of the squared differences. Signup and view all the answers

Why is it essential to introduce data science skills early in a student's educational phase?

To build a solid foundation and be industry-ready. Signup and view all the answers

What is data governance, and what aspects of data management does it encompass?

Data governance is a process that protects and manages the efficient use of data, encompassing people, technologies, processes, and policies that define who can act upon which data and using what methods. Signup and view all the answers

What is the primary goal of unsupervised learning in data analysis?

The primary goal of unsupervised learning is to identify patterns or relationships in data without a priori knowledge of the outcome. Signup and view all the answers

What is the purpose of clustering in data analysis?

The purpose of clustering is to group similar data points into clusters based on their characteristics or features. Signup and view all the answers

What is the role of visual studio code in the final project?

Visual Studio Code is used to set up the environment for writing the predictor function in the final project. Signup and view all the answers

What is the importance of data cleansing in data analysis?

Data cleansing is important to ensure that the data is accurate, complete, and consistent, which is essential for building reliable models and achieving accurate results. Signup and view all the answers

What is the purpose of writing a predictor function in the final project?

The purpose of writing a predictor function is to build a model that can make predictions based on the given data. Signup and view all the answers

What is the role of data governance in ensuring data quality?

Data governance plays a crucial role in ensuring data quality by establishing policies, procedures, and standards for data management and use. Signup and view all the answers

What is the importance of exploratory data analysis in data analysis?

Exploratory data analysis is important to understand the characteristics of the data, identify patterns and relationships, and inform the development of models and algorithms. Signup and view all the answers

Study Notes

Data Analysis

Objective type questions:
- Graphs used to check the relationship between two variables: Pair plot
- Graph used to check if a variable has outliers: Box plot
- Graph used for multivariate analysis: Contour plot
- Graph used for univariate analysis: Histogram or Scatter plot
- Data cleaning step: Removing duplicates and outliers

Data Science

Course introduction:
- Data science skill module for class VIII and as a skill subject in classes IX-XII
- Covers theoretical concepts of data science with practical examples
- Aims to develop critical thinking capabilities among students and make them industry-ready

Data Governance

Definition: Process, policies, and technologies to manage and protect data
Includes defining who can access and manipulate data
Data governance ensures efficient use and maintenance of data

Exploratory Data Analysis (EDA)

Introduction: Process of analyzing and summarizing data to extract insights
Types of analysis:
- Univariate analysis: Analyzing a single variable
- Multivariate analysis: Analyzing multiple variables
Data cleaning: Removing duplicates, outliers, and missing values

Classification Algorithms

Introduction: Decision Trees algorithm for classification
Applications of Decision Trees: Handling categorical and numerical data
Creating a Decision Tree: Root node, decision nodes, leaf nodes

Regression Algorithms

Introduction: Linear Regression algorithm for prediction
Mean Absolute Error (MAE) and Root Mean Square Deviation (RMSD) for evaluating regression models

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