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Data Science and Machine Learning with R - Data Science + Machine Learning Marketplace

Data Science and Machine Learning with R - Data Science + Machine Learning Marketplace

Assessment

Interactive Video

Information Technology (IT), Architecture, Business, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video provides an overview of the rapid growth and demand in the data science and machine learning fields. It highlights the significant job growth since 2012, with data scientists being in high demand and earning competitive salaries. The video also discusses various roles such as machine learning engineers and big data developers, emphasizing the massive opportunities available. Current trends show businesses increasingly utilizing big data and machine learning to enhance their digital models. The video concludes by discussing the future potential of data science, especially for small and medium-sized businesses, and the need for more data science capabilities to analyze and leverage data effectively.

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5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the job growth percentage for data science since 2012?

450%

750%

550%

650%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to Glassdoor, what is the average salary for a data scientist?

$85,000

$100,000

$120,000

$140,000

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which role has an average salary of $85,000 according to the transcript?

Software Developer

Big Data Developer

Data Scientist

Machine Learning Engineer

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What major push did big data analytics receive in 2019?

Increased funding from governments

Partnerships with data engineers

Introduction of new programming languages

Development of new hardware

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential opportunity for small and medium-sized businesses in data science?

Creating new programming languages

Building new data centers

Developing new hardware

Implementing data analytics solutions

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