Data Analytics

Raising a Toast to Ivy’s 10 Years of Success!



10 years of Innovative thinking

10 years of Shaping Careers

10 years of Ivy Pro School

A Look at ‘Ivy – 2017’

Ivy Pro School completes 10 glorious years of creating Data Science Experts and

10 Jobs Roles an Analyst can take up!

Since the beginning of the 21st century, India has witnessed various kind of changes in market and technical strategies that has left corporates and firms with the need to adopt various statistical measures in devising strategies.

Given the highly diverse fields for which Indian

10 Analytical Minds to follow!



Ronald Coase had said, “If you torture the data long enough, it will confess.” Over time, many brilliant minds have come up with their innovative skills

Technologies and Applications Inspired by Machine Learning & Artificial Intelligence

Few technologies we think about are a reality now. The advancement in Machine learning and Artificial Intelligence has led to the development of some pretty cool stuff that can’t be ignored. Hollywood has been inspiring the generation with its sci-fi movies. From James Bond to Iron Man, technologies shown are inspired by Machine Learning and Artificial Intelligence, giving an idea of what these

Commonly used Business Analytics Techniques

Statistics is the backbone of

Analytics Blogs not to be missed


ANALYTICS BLOGS NOT TO BE MISSED

Scope of 

What to choose? R Vs Python | Part 3



We’ve covered 2 blogs in this series of R Vs Pytho

R vs Python for Data Science: Which Analytics Tool Should You Choose?



 

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

 RPython
PurposeR is a statistical modelling tool basically meant for statisticians.Python is a general purpose programming language, compatible across all platforms

 

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.

 

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