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

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

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.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation