Students will learn the text mining concepts and practical approach easily from scratch.
Students will learn how to analyze and derive insights from their Social Media data.
Learn to find out association between different term from the documents of data or tweets.
Finding out frequently occuring terms from the Twitter data.
Term Document Matrix and it's uses in Text Mining through practical approach.
Corpus and it's usage in Text Mining through practical approach.
Building a Word Cloud and finding out important insights from it using case study approach.
Data Mining of text data i.e. unstructured data, in order to derive important insights from social media data.
Should be aware of basic R programming
Should have interest in analyzing and deriving insights from social media data i.e. text data
Basic knowledge of machine learning algorithms, Data mining and NLP will be beneficial but not necessary.
Basic Internet using skills.
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.
Who this course is for:
People who wants to learn Text Mining from scratch and it's important concepts.
People who wants to learn how to analyze text data through case study approach.
People who are aware of using R language and wants to take their level of knowledge further with text mining.
People who wants to make their base solid in mining text data.
People who wants to work on data science projects related to text mining , text analyics etc as a freelancer.
People who wants to upgrade their knowledge in Data Science by learning Text Mining.
I am a Data Science Guy , freelance designer and analyst. And I have sound knowledge of widely used analysis tools such as excel, R , SAS , SQL etc. And I have worked with great numbers of clients from around the world professionally as a freelancer. So i think i can share my knowledge and experience here and enrich learners with great skill set here and learn something new from them.