at affluenz it academy, our students often ask what’s the best programming language they should use for their day-to-day data analysis tasks. our answer is that it depends on the type of data analytical challenge that they want to address.
both python and r, are popular programming languages for statistics. while r has strong data visualization capabilities, python is often praised for its easy-to-understand syntax. the best way to understand its usage is to work on various practical simulations and address them with r or python.
we at affluenz it academy build the base of our trainers with both the programming languages and provide me real time use cases to evaluate which one they need to adapt to address each of them
Module 1 - basics of data science
Module 2 - r programming basics
Module 3 - programming with r – r studio
Module 4 - python environment setup and essentials
Module 5 - python vs r
Module 6 - live project on python & r
Module 7 - certification & closure
Module 1 - basics of data science
Module 2 - r programming basics
Module 3 - programming with r – r studio
Module 4 - data visualization and machine learning
Module 5 - python environment setup and essentials
Module 6 - advance python
Module 7 - python vs r
Module 8 - live project on python & r
Module 9 - certification & closure