Course Overview
The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.
This training is an introduction to the concept of Data science domain and its application using R programming language.
The tutorials will include the following;
- Introduction to R programming
- Reproducible Analysis
- Data Manipulation
- Visualizing Data
- Working with Large Datasets
- Supervised Learning
- Unsupervised Learning
- In depth R programming
- Object oriented Programming
- Building an R package
- Testing and Package Checking
- Version Control
- Profiling and Optimizing
Target Customers:
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Pre-Requisites:
- No prior knowledge of machine learning required
- Basic knowledge of R