Data analysis is only useful if it pertains to an organization’s most complex challenges and requirements. With these trainings you will learn the core tools used to analyze data, how to model data with appropriate analysis techniques, and the skills to interpret and then answer the hypotheses you constructed.

r training course

Duration:

16 h

Who takes this course:

With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. This course is suitable for both beginners and professionals as the curriculum is adjusted based on experience of participants.

Course Topics:

  1. Basic R programming
  2. R Studio
  3. R for Data Science (data tidyverse, emphasis on the dplyr and ggplot2)

r web app deployment

Duration:

16 h

Who takes this course:

R language is becoming increasingly popular among data scientists to build simple web application along simple integration with RShiny, R web applications. The course is suitable for participants with basic knowledge of R language.

Course Topics:

  1. Introduction in R back-end environment
  2. Building web-based applications in R back-end
  3. R Studio Shiny application deployment

PYTHON web app deployment

Duration:

8 h

Who takes this course:

Python is the most popular PHP framework used by millions of developers worldwide. It is high level programming language used for general purpose programming and can be a great starting point for beginner level specialists as well as seasoned professionals. The course curriculum is adjusted based on experience of participants.

Course Topics:

  1. Introduction in Python
  2. Python language basics
  3. Building applications in Python language in Flask environment
  4. Building applications in Python language in Django environment