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LinkedIn Learning

Starting Your Career in Tech: Data Science

via LinkedIn Learning

Overview

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Looking to advance your career in data science? In this learning path, gather foundational knowledge—from nontechnical skills to career path strategies—to continue your professional journey in data science.
  • Practice the nontechnical skills of effective data scientists.
  • Discover what it takes to land a remote job in data science.
  • Explore career paths in the data science sector.

Syllabus

Courses under this program:
Course 1: Inside the Mind of an Aspiring Data Scientist
-Learn about how to become a data scientist. Unlock the potential of a data science career path and find out what you need to know if you’re just starting out.

Course 2: Data Science and Analytics Career Paths and Certifications: First Steps
-Learn about the history, roles, career paths, and industry-recognized certifications in the field of data science and analytics.

Course 3: Introduction to Data Science
-Get to know the exciting world of data science in this beginner-friendly course.

Course 4: Data Science Foundations: Fundamentals
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.

Course 5: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.

Course 6: 15 Tips for Landing a Data Science Job
-Learn strategies and tips for landing your dream Data Science job, plus how to activate your network, showcase your work, share an effective resume, and nail a job interview.

Course 7: Get a Remote Data Science Job
-Learn how to break away from the office and find your dream job as a remote data scientist.

Course 8: Future Proofing Your Data Science Career
-Learn what the future holds for data science professionals and the skills you need for a successful and sustainable career.

Taught by

Khaulat Ayomide Abdulhakeem, Jungwoo Ryoo, Lavanya Vijayan, Barton Poulson, Keith McCormick, Annyce Davis, Michael Galarnyk, Michael Galarnyk and Christopher Bishop

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