- [Voiceover] After spreadsheets,…the first tool I wanna talk about in Data Science is R.…That's the statistical programming language,…that goes by the single letter name R.…It can easily be argued that R,…is the language of Data Science.…Take a look again,…at the KDnuggets Poll that we saw previously.…This is a survey of data mining professionals,…and R is the single most commonly used tool,…almost twice as much as everything else.…And it's 50% more used than Python,…which is considered its major competitor…with its specialized statistical packages.…
There's a few reasons for this.…Number one, R is Free and Open Source.…That's an advantage, because some of the…proprietary programs can be extremely expensive.…Second, R is optimized for Vector Operations.…That makes it possible for R to work…through an entire collection of data,…without having to write explicit for loops in it,…saves a lot of time.…Third, R has a great community behind it.…There's an immense amount of support,…and you can almost always find help…
- Assess the skills required for a career in data science.
- Evaluate different sources of data, including metrics and APIs.
- Explore data through graphs and statistics.
- Discover how data scientists use programming languages such as R, Python, and SQL.
- Assess the role of mathematics, such as algebra, in data science.
- Assess the role of applied statistics, such as confidence intervals, in data science.
- Assess the role of machine learning, such as artificial neural networks, in data science.
- Define the components of effective data visualization.
Skill Level Beginner
1. What Is Data Science?
2. Fields of Study
Ethical issues2m 39s
4. Data Sources
5. Data Exploration
8. Applied Statistics
9. Machine Learning
Next steps2m 17s
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