University of California, Irvine
Identifying the Right Role for Yourself
University of California, Irvine

Identifying the Right Role for Yourself

This course is part of Interviewing for DS/AI Roles Specialization

Taught in English

Camille Funk

Instructor: Camille Funk

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

9 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the required skills, education, and experience for various DS/AI roles.

  • Describe a DS/AI role that aligns with personal goals and area of interest.

  • Assess what additional skill training is needed to enter a specific DS/AI role.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Interviewing for DS/AI Roles Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

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There are 4 modules in this course

Welcome to Module 1, Data Science and Artificial Intelligence Field & Roles. Now that you’ve finished school or accumulated some initial experience in the data science and/or artificial intelligence fields, you’d probably like to find a full-time, long-term position. In this module, we’ll discuss the current DS/AI landscape, some of the common challenges of landing a DS/AI role, and the basic experience and education you will need to be considered for a DS/AI role. We’ll close the module with a discussion about your current DS/AI experience, education, and goals for the future. We’ll use this as a benchmark to reflect on at the end of the course and specialization.

What's included

2 readings1 quiz1 discussion prompt2 plugins

Welcome to Module 2, Data Scientist vs Data Analysts vs Data Engineer. Data scientists, data analysts, and data engineers are roles we’ve all heard about in passing but what do they really entail? In this module, we will explore the responsibilities and required skills for these roles, along with identifying the similarities and differences between the three. We will also discuss if any of these positions align with our personal interests, skills, personalities, and future goals.

What's included

2 readings1 quiz1 discussion prompt1 plugin

Welcome to Module 3, Machine Learning and AI Jobs. Now that we’ve explored some data science roles, let’s transition over to a few specific ML and AI roles. In this module, we’ll review some common ML/AI roles, identify the skills necessary for securing and advancing in one of these roles, and discuss how data science and artificial intelligence roles overlap and how they differ.

What's included

2 readings1 quiz1 discussion prompt1 plugin

Welcome to Module 4, Other Data Science Positions. We will wrap up this course by reviewing a few more DS/AI roles that are currently in demand. Like the roles mentioned in other modules, there can be some confusion around what exactly the data architect, cloud engineer, and business analyst roles involve. In this module, we will examine the different responsibilities and required skills and experience for each of these roles. We will also determine which DS/AI role and industry best align with our personal goals, skills, and interests.

What's included

2 readings1 quiz1 discussion prompt2 plugins

Instructor

Camille Funk
University of California, Irvine
5 Courses11,114 learners

Offered by

Recommended if you're interested in Data Analysis

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