Identifying the Right Role for Yourself

University of California, Irvine via Coursera

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Overview

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 todays 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...

Syllabus

Data Science and Artificial Intelligence Field & Roles

Welcome to Module 1, Data Science and Artificial Intelligence Field & Roles. Now that youve finished school or accumulated some initial experience in the data science and/or artificial intelligence fields, youd probably like to find a full-time, long-term position. In this module, well 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. Well close the module with a discussion about your current DS/AI experience, education, and goals for the future. Well use this as a benchmark to reflect on at the end of the course and specialization.

Data Scientist vs. Data Analysts vs. Data Engineer

Welcome to Module 2, Data Scientist vs Data Analysts vs Data Engineer. Data scientists, data analysts, and data engineers are roles weve 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.

Machine Learning and AI Jobs

Welcome to Module 3, Machine Learning and AI Jobs. Now that weve explored some data science roles, lets transition over to a few specific ML and AI roles. In this module, well 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.

Other Data Science Positions

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.