This training is an introduction to the concept of Data science domain and its application using R programming language. 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. 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

What are the requirements?

No prior knowledge of machine learning required

Basic knowledge of R

What am I going to get from this course?

Learn R programming, Reproducible Analysis and Data Manipulation

Master data visualization, Learn working with Large Datasets, Supervised Learning and Unsupervised Learning

Learn Object oriented Programming, start building an R package. Know more on Testing and Package and checking Version Control and Profiling and Optimizing

What is the target audience?

Anyone who wants to learn about data and analytics

Data Engineers

Analysts

Architects

Software Engineers

IT operations

Technical managers