- [Voiceover] When people ask me what tools…they need to learn to do data science,…I generally tell them two things,…the statistical programming language R,…and the general purpose programming language, Python.…Now, Python is an indispensable, central, critical tool…to data science.…Let's take a look again at the KDNuggets Software Poll…at Python's Place.…Once more this is a survey of data-mining professionals…at the tools they use most often.…Python is fourth on this list,…and it's also the only general purpose programming language…that's included on this list.…
Also, it's growing rapidly.…Python's been around for a while,…but Python for working with data, is new.…And it's expanding very quickly.…There's a few reasons for this.…First off Python is general purpose,…it means potentially you can do anything in Python…and a lot of people do.…You can create applications,…you can access data sources,…you can control a number of things.…Also, Python is built in.…It's already included on a Mac or Linux computer.…
And it's easy to add on a Windows PC.…
- 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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