Muhammad Imdad Ullah

Master Data Science MCQs for exams & interviews! Boost your skills in data analysis, machine learning, and statistical modeling with 20 key multiple-choice questions. Perfect for aspiring data scientists, analysts, and researchers preparing for competitive tests or career advancement. Get ready to excel in data-driven decision-making! Let us start with the Data Science MCQs Quiz now.

Created by Muhammad Imdad Ullah

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Data Science Quiz 2

Online MCQs about Data Science with Answers

1 / 20

Select the correct sentence about the data science methodology as explained in the course.

Data science methodology always starts with Business Understanding

Data science methodology provides data scientists with a framework for answering to management

The data science methodology requires going through all of the stages successively before going through the stages again

Data science methodology depends on specific technologies or tools

2 / 20

How does the data science methodology ensure continuous improvement?

By only relying on expert opinions

By making the methodology linear and rigid

By automating the entire process

By incorporating feedback and making adjustments

3 / 20

You have just started your career as a data scientist. Which of the following skills should you develop to succeed as a data scientist? You should

Cultivate curiosity, develop strong positions, and learn to communicate insights effectively through storytelling

Focus primarily on mastering coding languages and analytics tools to excel in data analysis

Dedicate your efforts to becoming proficient in technical skills such as mathematics and statistical modeling

Prioritize industry-specific knowledge above all else to establish a competitive advantage as a data scientist

4 / 20

The three important qualities to possess to succeed as a data scientist are:

Curious

Argumentative

Judgemental

Proficient in Programming

Good at Math and Statistics

5 / 20

Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations.

False

True

6 / 20

You are a data scientist about to start a new project. What would one of your key roles be?

Collecting vast quantities of data from varied sources

Designing data collection methods

Focusing solely on data visualization

Asking questions to clarify the business need

7 / 20

What is the role of data analysis in Data Science, and how does it contribute to decision-making?

Data analysis involves gathering insights from data and helps make informed decisions

Data analysis focuses on formulating business questions for organizations

Data analysis is no longer relevant due to advanced data visualization tools

Data analysis is a recent concept leveraging computing power for pattern recognition

8 / 20

Which of the following are applications of data science?

Determining if an application for a credit card should be accepted based on the applicant's financial history and data

Augmented Reality

Optimizing resource allocation for relief aid

9 / 20

In a healthcare context with patient data, medical histories, and treatment outcomes, Data Science can be applied to:

Analyzing patient data for personalized treatment plans

Automating patient diagnoses and treatment decisions

Creating artistic visualizations of patient data for aesthetics

Predicting future medical advancements using patient data

10 / 20

When did the term "data science" come into existence, and who is credited with coining the term?

Early 2000s, led by business analysts

1960s, no specific person credited

1990s, DJ Patil and Andrew Gelman

2009-2011, DJ Patil or Andrew Gelman

The term "data science" emerged around 2009-2011 and is attributed to individuals like DJ Patil and Andrew Gelman.

11 / 20

Why are companies looking for well-rounded individuals when hiring data scientists?

Because data scientists need to be artistic

Because data scientists are responsible for conducting biological experiments

Because data science jobs are purely focused on statistics

Because data science requires a combination of skills, including subject matter expertise, programming, and communication abilities

Data science is described as a multidisciplinary field that requires a combination of skills, including subject matter expertise, programming, and communication abilities.

12 / 20

Which of the following statements is correct?

To be a successful data scientist, it is a must to hold a degree in statistics or engineering.

As data science is not a discipline traditionally taught at universities, contemporary data scientists come from diverse backgrounds such as engineering, statistics, and physics.

13 / 20

You have the task of defining the role of a data scientist for a retail company that seeks to improve its product offerings and marketing strategies. In this context, a data scientist would primarily engage in which activity?

Creating artistic visualizations for in-store displays to attract customers

Analyzing customer purchase data to identify trends and tailor product recommendations

Developing algorithms to predict future stock market trends for investment decisions

Conducting biological experiments to enhance the quality of retail products

Data Science can help analyze customer data to uncover trends and make informed marketing and product decisions.

14 / 20

Which of the following statements is correct?

Data scientists determine how to prepare the data

Data scientists determine how to collect the data

Data scientists ignore missing and out-of-range data values

Data scientists identify the data that is required for data modeling

15 / 20

Due to the shortage of data scientists, employers are willing to pay top salaries for their talent, with an average base salary for data scientists reported as $112,000.

True

False

16 / 20

What is one key foundational skill required for someone entering a data science team?

A Ph.D. in physics or statistics

In-depth understanding of MapReduce programming model and advanced statistical techniques

Programming skills, algebra, geometry, calculus, basic probability, basic statistics, and knowledge of relational databases

High-level expertise in computer science theory without a focus on statistics or probability

These are key foundational skills for someone entering a data science team. These skills include programming skills, algebra, geometry, calculus, basic probability, basic statistics, and knowledge of relational databases.

17 / 20

As an aspiring data scientist, what primary qualities should you possess to succeed in the field?

Strong expertise in a specific industry

Proficiency in analytics platforms and software

Curiosity and storytelling skills

Extensive experience with data analysis software

Curiosity, the ability to take positions, and storytelling skills are essential qualities for an aspiring data scientist

18 / 20

Imagine you are working for a retail company that wants to optimize its product offerings and marketing strategies. In this scenario, you would use Data Science for

Creating artistic visualizations for in-store displays to attract customers

Conducting biological experiments to enhance the quality of retail products

Analyzing customer purchase data to identify trends and tailor product recommendations

Developing algorithms to predict future stock market trends for investment decisions

19 / 20

What are some of the first steps that companies need to take to get started in data science?

Discard any old data that had acquired in order to start over

Put together a team of data scientists

Start collecting data

Without data, no data science work can be carried out. You need competent data scientists who would use the data to help you make data-driven decisions.

20 / 20

Considering an individual with a marketing background transitioning to data science, how might their marketing experience contribute to their data science journey?

Their marketing knowledge could help predict future data science trends

Their marketing skills could enhance their ability to perform complex statistical analyses

Their marketing expertise could replace the need for data analysis, given its relevance to business

Their marketing background might assist in interpreting data to generate actionable insights

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Online Data Science MCQs with Answers

• Which of the following statements is correct?
• How does the data science methodology ensure continuous improvement?
• Select the correct sentence about the data science methodology as explained in the course.
• What is one key foundational skill required for someone entering a data science team?
• What are some of the first steps that companies need to take to get started in data science?
• Which of the following are applications of data science?
• You have the task of defining the role of a data scientist for a retail company that seeks to improve its product offerings and marketing strategies. In this context, a data scientist would primarily engage in which activity?
• As an aspiring data scientist, what primary qualities should you possess to succeed in the field?
• When did the term “data science” come into existence, and who is credited with coining the term?
• You are a data scientist about to start a new project. What would one of your key roles be?
• You have just started your career as a data scientist. Which of the following skills should you develop to succeed as a data scientist? You should
• Considering an individual with a marketing background transitioning to data science, how might their marketing experience contribute to their data science journey?
• In a healthcare context with patient data, medical histories, and treatment outcomes, Data Science can be applied to:
• What is the role of data analysis in Data Science, and how does it contribute to decision-making?
• Imagine you are working for a retail company that wants to optimize its product offerings and marketing strategies. In this scenario, you would use Data Science for
• The three important qualities to possess to succeed as a data scientist are:
• Due to the shortage of data scientists, employers are willing to pay top salaries for their talent, with an average base salary for data scientists reported as $112,000.
• Why are companies looking for well-rounded individuals when hiring data scientists?
• Which of the following statements is correct?
• Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations.

Data Analysis with R