Online Training - IBM - What is Data Science? Dec 09 2019 15:41 languageMoneyScience
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What is Data Science?
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
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- Flexible deadlines
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- Beginner Level
- Approx. 6 hours to complete
Suggested: 3 weeks of study, 2-3 hours/week
Subtitles: English, Arabic
In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.
Week 2 - Data Science Topics
In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing, at New York University, as he talks about data science and what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
Week 3 - Data Science in Business
In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.
- Alex Aklson, Ph.D., Data Scientist, IBM Developer Skills Network
- Polong Lin, Data Scientist, IBM Developer Skills Network