This is because as data science continues to expand its influence in different industries and societies, many myths and misconceptions result in unrealistic expectations and poor strategies. In this course, “Twelve Myths about Data Science,” Ben Sullins is eager to share twelve myths about this discipline and explain the real situation that is vital to understanding and making precise decisions.
Twelve Myths about Data Science Table of Contents:
- Introduction
- Welcome (53s)
- 12 Myths
- AI will solve all our problems effortlessly (3m 5s)
- Data science projects will always yield immediate ROI (3m 51s)
- AI and automation will replace human decision-making entirely (3m 11s)
- Data quality is not as important as quantity (2m 11s)
- Machine learning models are always objective and unbiased (2m 51s)
- Data science is solely a technical discipline (3m 8s)
- Deep learning is the answer to every problem (3m 29s)
- AI and machine learning will replace jobs, leading to mass unemployment (5m 19s)
- Anyone can become a data scientist with a short online course (4m 46s)
- Data science is only relevant for large corporations (3m 20s)
- Implementing AI is a one-time project, not an ongoing process (2m 37s)
- More data always leads to better results (2m 18s)
- Conclusion
- Recap (1m 48s)
Who is this course for?
- Anyone interested in understanding data science better
