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University of California, Irvine
Identifying the Right Role for Yourself
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  2. Data Science
  3. Data Analysis
University of California, Irvine

Identifying the Right Role for Yourself

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

Camille Funk

Instructor: Camille Funk

Included with Coursera Plus

•Learn more
4 modules
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

Recommended experience

Beginner level

1-2 years of formal or informal education in DS/AI field is recommended.

9 hours to complete
Flexible schedule
Learn at your own pace

4 modules
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

Recommended experience

Beginner level

1-2 years of formal or informal education in DS/AI field is recommended.

9 hours to complete
Flexible schedule
Learn at your own pace
  • About
  • Outcomes
  • Modules
  • Recommendations
  • Testimonials

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.

Skills you'll gain

  • Cloud Computing Architecture
  • Data Architecture
  • Machine Learning
  • Big Data
  • Data Science
  • Data Analysis
  • Artificial Intelligence
  • Business Analysis
  • Cloud Engineering
  • Analytical Skills

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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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

There are 4 modules in this course

Data science and artificial intelligence are exciting, growing fields with a lot to offer prospective job seekers. However, even with the massive growth in technology and positions, there are still many barriers to entry. This course explores today’s challenges and opportunities within data science and artificial intelligence, the varying skills and education necessary for some commonly confused positions, as well as the specific job duties associated with various in-demand roles. By taking this course, learners will be able to discover which role and industry best fit their skills, interests, and background as well as identify any additional education needed, both of which will prepare them to apply and interview for DS/AI positions.

By the end of this course, students will be able to: • Identify the required skills, education, and experience for various DS/AI roles. • Recall the similarities and differences between various commonly confused DS/AI roles. • Describe a data science/artificial intelligence role that aligns with personal goals and area of interest. • Assess what additional skill training is needed to enter a specific DS/AI role.

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 assignment1 discussion prompt2 plugins

2 readings•Total 121 minutes
  • Required Readings & Resources•49 minutes
  • Supplemental Resources•72 minutes
1 assignment•Total 30 minutes
  • Module 1 Knowledge Check•30 minutes
1 discussion prompt•Total 30 minutes
  • What is the Right Industry for You?•30 minutes
2 plugins•Total 12 minutes
  • Video: AI vs. Data Science: Differences in Technology and Use Cases•3 minutes
  • Video: Why is it Hard to Find a Job as a Data Scientist? 3 REASONS WHY•9 minutes

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 assignment1 discussion prompt1 plugin

2 readings•Total 41 minutes
  • Required Readings & Resources•34 minutes
  • Supplemental Resources•7 minutes
1 assignment•Total 30 minutes
  • Module 2 Knowledge Check•30 minutes
1 discussion prompt•Total 30 minutes
  • Data Scientist, Data Analyst, or Data Engineer?•30 minutes
1 plugin•Total 11 minutes
  • Video: Data Analyst vs Data Scientist vs Data Engineer Picking The Role That'll Make You Happy & Prosperous•11 minutes

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 assignment1 discussion prompt1 plugin

2 readings•Total 65 minutes
  • Required Readings & Resources•52 minutes
  • Supplemental Resources•13 minutes
1 assignment•Total 30 minutes
  • Module 3 Knowledge Check•30 minutes
1 discussion prompt•Total 30 minutes
  • Data Science vs AI/ML•30 minutes
1 plugin•Total 14 minutes
  • Video: Data Scientist vs Machine Learning Engineer•14 minutes

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 assignment1 discussion prompt2 plugins

2 readings•Total 21 minutes
  • Required Readings & Resources•17 minutes
  • Supplemental Resources•4 minutes
1 assignment•Total 30 minutes
  • Module 4 Knowledge Check•30 minutes
1 discussion prompt•Total 30 minutes
  • What is the Right Role for You?•30 minutes
2 plugins•Total 15 minutes
  • Video: Cloud Architect Vs Cloud Engineer (Get the Right Skills to Be a Cloud Architect or Cloud Engineer)•8 minutes
  • Video: Business Analyst vs Data Analyst•7 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Camille Funk
Camille Funk
5 Courses•14,557 learners

Offered by

University of California, Irvine

Offered by

University of California, Irvine

Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UC Irvine’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.

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