Learn the ethical challenges associated with being a data scientist by analyzing threats around you, which may make it difficult to always follow your moral compass. Explore the security and privacy considerations you need to build into your data science
- [Voiceover] The threats are everywhere,…in fact, we hear about new data breeches all the time.…Sometimes, these security incidents are insider jobs,…disgruntled employees, or industrial spies…maybe lurking around you.…You yourself may be tempted to eavesdrop on your coworkers…or supervisor's data, just out of curiosity.…As a result, the ethical integrity of a data scientist…can make up a huge difference in guarding the security…and privacy of user data.…
In addition to watching out for an insider threat…and keeping yourself out of the danger zone,…it is also an ethical thing to intentionally…and proactively build in security into a data science…product you are developing.…If you don't do your job as a data scientist…to ensure the security and privacy of your customer data,…somebody is bound to fall victim to a crime down the road.…It is often the case that security is a second thought…when working on a data science project.…
Time to market pressure seems to be always winning.…However, many organizations are realizing that,…
Jungwoo Ryoo is a professor of information science and technology at Penn State. Here he reviews the history of data science and its subfields, explores the marketplaces for these fields, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics, and visualization. This leads to a discussion of the five biggest career opportunities, the six leading industry-recognized certifications available, and the most exciting emerging technologies. Along the way, Jungwoo discusses the importance of ethics and professional development, and provides pointers to online resources for learning more.
- A history of data science
- Why data analytics is important
- How data science is used in fraud detection, disease control, network security, and other fields
- Data science skills
- Data science roles
- Data science certifications
- The future of data science
Skill Level Beginner
Insights on Data Science: Lillian Piersonwith Lillian Pierson, P.E.23m 51s Intermediate
Learning Data Science: Understanding the Basicswith Doug Rose1h 16m Appropriate for all
1. Define Data Science
6. Future of Data Science
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