Practice Career Roles in Data Science - 3 | Capstone Project & Career Path | Data Science Basic
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Career Roles in Data Science

3 - Career Roles in Data Science

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the role of a Data Analyst.

💡 Hint: Think about how they help businesses make decisions.

Question 2 Easy

What is one tool commonly used by Data Scientists?

💡 Hint: Remember the programming languages used in data science.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary role of a Data Analyst?

Extract and visualize data
Design machine learning models
Manage data pipelines

💡 Hint: Think about who provides actionable insights.

Question 2

True or False: Machine Learning Engineers primarily focus on data extraction.

True
False

💡 Hint: Think about their role in model development.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Evaluate how the advancement of Machine Learning Engineers has changed the demand for Data Scientists. Discuss the synergy between these two roles as businesses integrate data-driven models.

💡 Hint: Consider how model deployment needs influence the demand for Data Science skills.

Challenge 2 Hard

Explore the different skills required for a Data Engineer and compare them with a Data Analyst's skill set. Identify overlaps and explain their importance in a data pipeline.

💡 Hint: Think about how both positions interact with data but have different main contributions.

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