Twelve Myths about Data Science
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Ben Sullins and Free the Data Academy
42:47
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01 - Welcome.mp4
00:53
01 - AI will solve all our problems effortlessly.mp4
03:05
02 - Data science projects will always yield immediate ROI.mp4
03:51
03 - AI and automation will replace human decision-making entirely.mp4
03:11
04 - Data quality is not as important as quantity.mp4
02:11
05 - Machine learning models are always objective and unbiased.mp4
02:51
06 - Data science is solely a technical discipline.mp4
03:08
07 - Deep learning is the answer to every problem.mp4
03:29
08 - AI and machine learning will replace jobs, leading to mass unemployment.mp4
05:19
09 - Anyone can become a data scientist with a short online course.mp4
04:46
10 - Data science is only relevant for large corporations.mp4
03:20
11 - Implementing AI is a one-time project, not an ongoing process.mp4
02:37
12 - More data always leads to better results.mp4
02:18
01 - Recap.mp4
01:48
Description
As data science continues to shape industries and societies, myths and misconceptions often abound, leading to misguided expectations and ineffective strategies. In this course, instructor Ben Sullins delves deep into twelve prevalent myths that have persisted over time, shedding light on the truths behind them and equipping you with the knowledge to navigate the data landscape more effectively.
Note: This course was created by Ben Sullins of Free the Data Academy. We are pleased to host this content in our library.
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Ben Sullins and Free the Data Academy
Instructor's CoursesI run Free the Data Academy which offers high-quality Data Skills training online. I've worked in data since the late 90's in nearly every role out there and in 2013 began sharing what I've learned through online courses. You can find my courses here on LinkedIn and on my own academy at FTDAcademy.com

Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 14
- duration 42:47
- English subtitles has
- Release Date 2024/12/14