Text Mining - Learn it from Scratch Using Case Study in R!

• Are you ready to discover interesting patterns, extract useful knowledge, and support decision making by mining and analyzing your Social Media Data i.e. Unstructured Data/ Text data?

• Are you ready to build your 1st Word Cloud that gives you Visual insights on your Text Data within Few Minutes!?

Now if go by facts and figures than by 2020, there will be around 2.9 billion social network users around the globe. And a vast amount of new information and data is generated every day i.e. Over 2.5 quintillion bytes of data are created every single day, and it's only going to grow from there. By 2020, it's estimated that 1.7MB of data will be created every second for every person on earth. And 90% of world's data is in an unstructured format (text data), which makes mining this unstructured data i.e. text mining one of the most sought after skills in Data Science and Machine learning.

LEARN IT FROM EXPERIENCED DATA SCIENCE GUY!

Hello Everyone!......... My name is Bhaumik S. Shah and I am a data science guy with master's degree in it and  I have a good amount of experience of working on different data science projects related to Machine learning (Regression, Classification, etc.), Time Series, Text Mining, Natural Language Processing, etc. as a freelancer. I have designed this course to make you familiar with text mining with a practical case study approach unlike other courses out there which focuses a lot on theory rather than practical approach. So in this course, we will start text mining from scratch, so it's okay if you are not familiar with this topic. We will cover some important/ required theory related to text mining in the beginning and we will straight move towards one case study using R for implementing it! . And you will also have access to future classes for FREE that will be updated in this course soon, in order to keep it relevant to the changing scenarios.