Identifying the Right Role for Yourself
Explore different career paths in data science and AI to find the perfect role matching your skills and interests.
Explore different career paths in data science and AI to find the perfect role matching your skills and interests.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Interviewing for DS/AI Roles Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Understand different data science and AI career paths
Identify required skills for various DS/AI roles
Assess personal fit for specific positions
Map career goals to suitable roles
Plan skill development strategy
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course helps students navigate career paths in data science and artificial intelligence. It explores various roles including data scientist, data analyst, data engineer, machine learning engineer, and AI specialist, examining the required skills, education, and experience for each position. Students learn to differentiate between commonly confused roles, assess their personal fit for different positions, and identify additional training needed for their desired career path.
Data Science and Artificial Intelligence Field & Roles
Module 1 · 3 Hours to complete
Data Scientist vs. Data Analysts vs. Data Engineer
Module 2 · 1 Hours to complete
Machine Learning and AI Jobs
Module 3 · 2 Hours to complete
Other Data Science Positions
Module 4 · 1 Hours to complete
Fee Structure
Free Access
You can avail this individual course for free
Includes access to course materials and lectures
No certificate provided for audit track
Instructor
Expert in Instructional Design and Educational Development
Camille Funk holds a BA in Elementary Education from Brigham Young University and an MA in International Educational Development from Teachers College, Columbia University. She has experience teaching in both elementary and university settings and has worked as an instructional designer at Brigham Young University and George Washington University. Currently, she directs instructional design teams at UC Irvine and co-founded UPCEA’s eDesign Collaborative, where she serves as director. Additionally, she founded eDesign Shop, LLC, which partners with university instructional design departments to provide scalable contract support
Testimonials
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.