Data Science Foundations: Fundamentals
With Barton Poulson
Liked by 3,268 users
Duration: 5h 17m
Skill level: Beginner
Released: 2/4/2022
Course details
Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It’s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you’ll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Anindita Barman
Anindita Barman
Associate at BT
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Chinyere Patience Nwali-Chukwu, ACIPM
Chinyere Patience Nwali-Chukwu, ACIPM
HR Manager| Employee Relations Manager| Talent Manager| Reward Manager| Employee Performance Management Specialist| Recruitment and Talent…
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Alexandra Kalaitzidou
Alexandra Kalaitzidou
AIx Engineer Applied Materials, Master M. Computer Science, Multilingual
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 10 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units