Course Overview
6h 2m | 56 Videos | 53992 Views | 
Intermediate 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.
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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
