Ivy Mar 28, 2018 No Comments
So one fine day you are handed an Excel spreadsheet by your Manager and the very look of it scares you because the data is recorded in an
Ivy Mar 21, 2018 No Comments
MS EXCEL, the most wanted skill set in the industry irrespective of your academic background. With an easy User Interface, this tool is popu
Ivy Feb 07, 2018 No Comments
The budget of 2018 welcomes AI with the government ready to allocate $480 mn towards research, training and skill devel
Ivy Jan 31, 2018 No Comments
Data is the New Sun!
2017 has seen the role of big data analytics grow and diversify its application into var
Ivy Jan 08, 2018 No Comments
We recently spoke to one of our ex-student, Saptarishi after he got placed in Grofers. He was happy to share with us his thoughts on his journey into ana
Ivy Jan 06, 2018 No Comments
10 years of Innovative thinking
10 years of Shaping Careers
10 years of Ivy Pro School
Ivy Dec 31, 2017 No Comments
Ivy Pro School completes 10 glorious years of creating Data Science Experts and
Ivy Sep 20, 2017 No Comments Our last blog talked about how R can be compared with Python basis its history, use for Data visualisation, Data handling capacity, Speed and Ease of Learning. This time lets talk about some other features Integrated Development Environment RStudio, Rattle, Visual Studio for R, Eclipse, etc. Pycharm, Pydev, Spyder, IPython Notebook, etc. Flexibility R can compute statistical models using few lines of codes. Moreover majority of statistical tests are available as packages in R Python is flexible in computing algorithms, scripting websites, making softwares, building apps, etc. R vs Python for Data Science: Which Analytics Tool Should You Choose?
R Python Purpose R is a statistical modelling tool basically meant for statisticians. Python is a general purpose programming language, compatible across all platforms
