From the course: Data Science Tools of the Trade: First Steps
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Fundamental skills
From the course: Data Science Tools of the Trade: First Steps
Fundamental skills
- To be a successful data scientist, you first need to acquire a baseline knowledge of statistics. But since so much of the data industry is driven by IT, it's also important for data scientists to be well-versed in the underlying technologies that support what they do on the job everyday. These include the ability to write code in languages such as Python or R which come with powerful libraries that implement statistical functions as well as visualization features. Ability to program in general is invaluable. A data scientist who is also a good programmer can automate mundane but necessary tasks and focus on solving larger problems. Knowing how database management systems work is another essential skill to master. Whether structured or unstructured, much of our data is stored in databases and familiarity in Structured Query Language or SQL is highly desired because it allows you to interact with databases natively. Developing a good understanding of data science infrastructure…
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