This is the code repository for R Programming for Statistics and Data Science [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you - data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's. Practicability is the key to this course, Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You'll reinforce your learning through numerous practical exercises.
- Use Amazon IAM (Identity and Access Management) to simply and effectively secure your app’s data
- Determine which S3 Settings are both cost-effective and secure for your specific applications
- Implement code with Amazon SDK and integrate it with free and open source platforms
- Explore methods to automatically, economically, and reliably back up and secure important application data
- Monitor your data with Cloudwatch, Cloudtrail, and Athena
- Stream premium audio and video to only paying customers using S3, HTML5, and free and open source components
To fully benefit from the coverage included in this course, you will need:
Aspiring data scientists. Beginners in programming. People interested in statistics and data analysis. Anyone who wants to learn how to code and apply their skills in practice.
This course has the following software requirements:
NA