Join Barton Poulson for an in-depth discussion in this video Python, part of Introduction to Data Science.
- [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.…
- The demand for data science
- Roles and careers
- Ethical issues in data science
- Sourcing data
- Exploring data through graphs and statistics
- Programming with R, Python, and SQL
- Data science in math and statistics
- Data science and machine learning
- Communicating with data
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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