Data Science Fundamentals Quiz
40 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

Which SQL statement is used to retrieve data from a database?

  • SELECT (correct)
  • DELETE
  • INSERT
  • UPDATE

What method is used to remove duplicates from a Pandas DataFrame?

  • df.drop_duplicates() (correct)
  • df.clear_duplicates()
  • df.delete_duplicates()
  • df.remove_duplicates()

Which of the following is NOT a popular R library for data science?

  • caret
  • TensorFlow (correct)
  • dplyr
  • ggplot

What is the main purpose of regression analysis?

<p>To measure the strength of the relationship between variables (B)</p> Signup and view all the answers

What is the purpose of Model Deployment in data science?

<p>To make a machine learning model accessible to third-party applications (D)</p> Signup and view all the answers

What does the mode represent in a dataset?

<p>The value that occurs most frequently (B)</p> Signup and view all the answers

Which type of visualization is most appropriate for showing the relationship between two continuous variables?

<p>Scatterplot (C)</p> Signup and view all the answers

Which command lets you see the state of your working directory?

<p>git status (D)</p> Signup and view all the answers

What is a key characteristic of Fully Integrated Visual Tools in data science?

<p>They support all data science tasks, either partially or completely. (D)</p> Signup and view all the answers

Why are samples often used instead of the entire population?

<p>To reduce the cost of data collection (C)</p> Signup and view all the answers

Which of the following is an example of an explanatory variable in a regression model?

<p>Beauty score (A)</p> Signup and view all the answers

What happens to the t-distribution as the degrees of freedom increase?

<p>It approaches the standard normal distribution. (C)</p> Signup and view all the answers

What does the Z-value represent in a standard normal distribution?

<p>The number of standard deviations a value is from the mean (C)</p> Signup and view all the answers

What file format is used to save Jupyter Notebook files?

<p>ipynb (C)</p> Signup and view all the answers

Which of the following is NOT a type of machine learning?

<p>Visual learning (D)</p> Signup and view all the answers

What are the three main measures of central tendency?

<p>Mean, median, mode (A)</p> Signup and view all the answers

What is the correct function to fill missing data in a DataFrame with a specified value?

<p>fillna() (A)</p> Signup and view all the answers

Which technique is primarily used to evaluate the predictive performance of a model in data science?

<p>Cross-validation (C)</p> Signup and view all the answers

Which command is used to check the status of your Git repository?

<p>git status (B)</p> Signup and view all the answers

What type of variable does the beauty score represent in a regression model?

<p>Explanatory variable (B)</p> Signup and view all the answers

What feature of execution environments is crucial in the model deployment phase?

<p>Model training and deployment facilitation (B)</p> Signup and view all the answers

What is the primary function of a join operation in SQL?

<p>To combine multiple tables based on a related key (B)</p> Signup and view all the answers

What happens to the shape of the t-distribution as the sample size increases?

<p>It approaches the standard normal distribution (D)</p> Signup and view all the answers

What accurately describes JupyterLab?

<p>An interactive environment for Jupyter Notebook (C)</p> Signup and view all the answers

Which of the following best defines ratio data?

<p>Quantitative data with a true zero point (A)</p> Signup and view all the answers

Which programming languages are primarily supported by Jupyter Notebook?

<p>Julia, Python, R (A)</p> Signup and view all the answers

What is the Interquartile Range (IQR) in the context of normally distributed data?

<p>The range between the first and third quartiles (B)</p> Signup and view all the answers

Which statement accurately describes the median?

<p>It divides the dataset into equal halves. (C)</p> Signup and view all the answers

Which of the following is an example of an open data source?

<p>Kaggle datasets (A)</p> Signup and view all the answers

What is a primary purpose of using a T-test in regression analysis?

<p>To assess statistically significant differences between group means (D)</p> Signup and view all the answers

What is a prominent challenge in data science today?

<p>Overabundance of data and processing capabilities (C)</p> Signup and view all the answers

What does the '//' operator perform in Python?

<p>Calculates the integer division (A)</p> Signup and view all the answers

What does standard deviation indicate in a data set?

<p>The number of standard deviations a value is from the mean (D)</p> Signup and view all the answers

Which file format is used to save Jupyter Notebook files?

<p>ipynb (C)</p> Signup and view all the answers

Which statement is true regarding basic data types in Python?

<p>String is one of the basic data types in Python (D)</p> Signup and view all the answers

What are the three main measures of central tendency?

<p>Mean, median, mode (D)</p> Signup and view all the answers

How many possible outcomes are there when rolling two standard six-sided dice?

<p>36 (D)</p> Signup and view all the answers

What is the range of values for probability?

<p>0 to 1 (C)</p> Signup and view all the answers

Why is understanding the business problem crucial in data science?

<p>It helps define objectives and informs the approach (A)</p> Signup and view all the answers

What best describes the concept of Big Data?

<p>Data that requires advanced tools to process (B)</p> Signup and view all the answers

Flashcards

SQL retrieval statement

The SQL statement used to extract data from a database table.

Pandas drop duplicates

Method to remove duplicate rows in a Pandas DataFrame.

Regression analysis purpose

Quantifies the relationship between variables.

IDE role in data science

Tools that support data scientists to develop, test and deploy code.

Signup and view all the flashcards

ETL process

Extract, Transform, and Load data.

Signup and view all the flashcards

Fully Integrated Visual Tools

Tools support all aspects of data science.

Signup and view all the flashcards

Model Deployment purpose

Making a model usable by other applications.

Signup and view all the flashcards

Mode in a dataset

Value that occurs most frequently.

Signup and view all the flashcards

Ordinal Data

Data with a meaningful order, but differences between values are not precise.

Signup and view all the flashcards

Interval Data

Data with a meaningful order and equal intervals between values, but no true zero point.

Signup and view all the flashcards

Ratio Data

Data with a meaningful order, equal intervals, and a true zero point. Ratios make sense.

Signup and view all the flashcards

Categorical Data

Data representing categories or groups, without inherent order.

Signup and view all the flashcards

Jupyter Notebook Languages

Jupyter Notebook primarily supports Python, R, and Julia.

Signup and view all the flashcards

R Characteristic

R integrates well with other languages like C++ and Python.

Signup and view all the flashcards

IQR in Normally Distributed Data

Interquartile Range (IQR) represents the range between the first and third quartiles.

Signup and view all the flashcards

Median

The median divides the data into two equal halves.

Signup and view all the flashcards

Cross-validation in data science

A technique to evaluate how well a statistical model generalizes to new data.

Signup and view all the flashcards

Python tuple type

An ordered, immutable sequence of items in Python.

Signup and view all the flashcards

Pandas fillna() method

Replaces missing values in a DataFrame with a specified value.

Signup and view all the flashcards

Python machine learning library

Scikit-learn is a popular Python library for various machine learning algorithms.

Signup and view all the flashcards

SQL JOIN

Combines rows from two or more tables based on a related column.

Signup and view all the flashcards

Git working directory status

Displays the current state of the files and changes in the git repository.

Signup and view all the flashcards

Explanatory variable in regression

A variable used to predict or explain another variable.

Signup and view all the flashcards

Execution environment in data science

A platform for training and deploying machine learning models.

Signup and view all the flashcards

git status command

Displays the current state of the Git working directory, showing any changes that have been made but not yet committed.

Signup and view all the flashcards

Sampling instead of population

Using a smaller representative subset of data (sample) to avoid the high cost and time commitment of analyzing an entire dataset.

Signup and view all the flashcards

Explanatory variable (regression)

A variable in a regression model that is used to predict or explain the outcome variable.

Signup and view all the flashcards

Execution Environments (data science)

Tools or platforms providing an isolated environment for running and deploying machine learning models.

Signup and view all the flashcards

t-distribution and degrees of freedom

As degrees of freedom increase, the t-distribution becomes closer to the standard normal distribution.

Signup and view all the flashcards

JupyterLab

An interactive environment for coding, especially useful for data science with its notebook interface (Jupyter Notebook).

Signup and view all the flashcards

z-value (standard normal)

Represents the number of standard deviations a data point is from the mean of a standard normal distribution.

Signup and view all the flashcards

Jupyter Notebook file format

.ipynb (IPython Notebook) format is used to save Jupyter Notebook documents.

Signup and view all the flashcards

Range of data

Difference between the largest and smallest values in a dataset.

Signup and view all the flashcards

Sum of data values

Total of all values in a data set.

Signup and view all the flashcards

Mean-Mode Difference

The difference between the average (mean) and the most frequent value (mode) in a dataset.

Signup and view all the flashcards

Standard deviations

Measuring how much data points deviate from the average (mean).

Signup and view all the flashcards

Jupyter Notebook File Format

.ipynb is the standard file extension for Jupyter Notebooks.

Signup and view all the flashcards

Non-Machine Learning Type

Visual learning is not a recognized type of machine learning.

Signup and view all the flashcards

Central Tendency Measures

Mean, median, and mode describe the center of a dataset.

Signup and view all the flashcards

Possible Dice Outcomes

There are 36 possible outcomes when rolling two six-sided dice.

Signup and view all the flashcards

Study Notes

SQL Statements for Data Retrieval

  • SELECT is used to retrieve data from a database.

Removing Duplicates in Pandas

  • df.drop_duplicates() is used to remove duplicates from a Pandas DataFrame.

R Libraries for Data Science

  • dplyr and caret are popular R libraries for data science.
  • TensorFlow is not a popular R library for data science.

Regression Analysis Purpose

  • Regression analysis measures the strength of the relationship between variables.

Role of IDEs in Data Science

  • IDEs (Integrated Development Environments) help data scientists implement, test, and deploy their work.

ETL Process in Data Science

  • ETL stands for Extract, Transform, and Load.

Key Characteristic of Visual Tools

  • Fully integrated visual tools support all data science tasks, either partially or completely.

Model Deployment Purpose

  • Model deployment makes machine learning models accessible to third-party applications.

Mode in a Dataset

  • The mode is the value that occurs most frequently in a dataset.

ggplot2 Library Purpose

  • ggplot2 is a library for data visualization.

REST APIs Definition

  • REST APIs enable interaction with web services via the internet.

Visualization for Continuous Variables

  • A scatterplot is the most appropriate visualization for showing the relationship between two continuous variables.

Working Directory Command

  • git status displays the state of the working directory in Git.

Using Samples Instead of Populations

  • Samples are often used instead of populations to reduce the cost of data collection.

Explanatory Variable in Regression

  • Beauty score is an example of an explanatory variable in a regression model.

Execution Environments Feature

  • Execution environments facilitate model training and deployment in data science.

T-Distribution and Degrees of Freedom

  • As degrees of freedom increase, the t-distribution approaches the standard normal distribution.

JupyterLab Description

  • JupyterLab is an interactive environment for Jupyter Notebook.

Z-Value in Standard Normal Distribution

  • The Z-value represents the number of standard deviations a value is from the mean in a standard normal distribution.

Jupyter Notebook File Format

  • Jupyter Notebook files are saved in the .ipynb format.

Types of Machine Learning

  • Visual learning is not a type of machine learning.
  • Other types include supervised and unsupervised learning, and reinforcement learning.

Measures of Central Tendency

  • Mean, median, and mode are the three main measures of central tendency.

Possible Outcomes of Rolling Two Dice

  • There are 36 possible outcomes when rolling two standard six-sided dice.

Probability Range

  • Probability values range from 0 to 1.

Data Visualization Tools

  • Data visualization tools are essential for both initial exploration and final deliverables.

Ratio Data Definition

  • Ratio data is characterized by a natural zero point.

Programming Languages for Jupyter Notebooks

  • Jupyter Notebooks primarily support Julia, Python, and R.

Characteristics of R

  • R integrates well with languages like C++ and Python.

IQR in Normally Distributed Data

  • IQR stands for interquartile range.

Median Definition

  • The median is the middle value in a dataset.
  • It is not affected by extreme values.

Open Data Sources

  • Kaggle datasets are an example of an open data source.

T-test Purpose

  • A T-test helps determine if there's a statistically significant difference between two groups' averages.

Biggest Data Science Challenges

  • One of the biggest challenges in data science is the overabundance of data and the ability to process it.

Python NumPy Arrays

  • NumPy arrays, unlike Python lists, cannot contain elements of different data types.

Python // Operator

  • The // operator performs floor division in Python.

Python init Method

  • The __init__ method in a Python class initializes an object's attributes.

Pandas groupby Function

  • The groupby() function in Pandas groups DataFrame rows based on column values.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

PT1 Past Paper PDF

Description

Test your knowledge on essential concepts in data science, including SQL statements, data manipulation in Pandas, the use of R libraries, and regression analysis. This quiz will also cover model deployment and the importance of ETL processes in data science.

More Like This

SQL Project: Digital Music Store Analysis
5 questions

SQL Analysis for Digital Music Store Project

RefreshedSymbol avatar
RefreshedSymbol
SQL Basics and Data Types
8 questions

SQL Basics and Data Types

BuoyantTellurium avatar
BuoyantTellurium
SQL Data Definition and Data Types
22 questions

SQL Data Definition and Data Types

UndauntedDjinn avatar
UndauntedDjinn
Data Analysis and SQL Basics Quiz
42 questions

Data Analysis and SQL Basics Quiz

WiseZeal avatar
WiseZeal
Use Quizgecko on...
Browser
Open
Browser
Browser