Learn how visualization is used in data science and what visualization skills you need to be an effective communicator as a data scientist. Explore useful visualization tools to make your job easier when working on a visualization project in the context o
- To overcome the challenge of effectively communicating…the results of data analytics to a lay audience,…there are scientists frequently rely on visualization.…Therefore, it is to their scientists advantage…to have a good understanding of effective visualization…techniques, so that they can use the most effective one…for a given problem and audience.…Some of the well-known characteristics…of effective visualization are readily available.…
These include…displaying data at multiple levels of details,…and avoiding distorting the message to be conveyed…while attempting to visualize it.…It is also very helpful to know…how to use some of the software tools…offered by the industry leaders…of visualization solutions.…For example,…Tableau offers one of the most popular…and comprehensive visualization tools…for data scientists.…
It supports a variety of visualization elements…such as different types of charts,…graphs, maps,…and other more advanced options.…Always remember that your job as a data scientist…is that of a middle man…
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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