Learn what data science careers are emerging and growing popular. Explore steps you can take to make your data science dream job come true.
- [Voiceover] There's no doubt that data science careers are trending upwards. In fact, many industry watchers are reporting shortages in qualified professionals for the foreseeable future. Therefore, I'm happy to say that the outlook for data science job opportunities is extremely bright. Now, the challenge is to prepare yourself for these wonderful opportunities. A good starting point is to develop passion for data science by first getting exposed to the field as much as you can.
Once you know you're ready for the task of diving into your journey of training and educating yourself on data science, the next big step to take is to actually commit yourself to lifelong learning. Identify a degree program or online curriculum that will provide a roadmap to your ultimate goal of becoming a data scientist, and simply plunge into it. If you need more guidance, find a mentor who could coach you along the way.
This could be your professor, colleague, or someone you get to know through a LinkedIn invitation. All the careers in data science are fairly new still emerging and evolving. These careers include job titles such as Data scientist, Business intelligence architect, Machine learning specialist, Business analytics specialist, Data visualization developers.
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
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.