Data Science: NLP and Sentimental Analysis in R

About this course

Caution before taking this course:This course does not make you expert in R programming rather it will teach you concepts which will be more than enough to be used in machine learning and natural language processing models.About the course:In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.This course covers following topics:1. R programming concepts: variables, data structures: vector, matrix, list, data frames/ loops/ functions/ dplyr package/ apply() functions2. Web scraping: How to scrape titles, link and store to the data structures3. NLP technologies: Bag of Word model, Term Frequency model, Inverse Document Frequency model4. Sentimental Analysis: Bing and NRC lexicon5. Text miningBy the end of the course you’ll be in a journey to become Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.

Course objectives

• To familiarize students with R programming for data analysis
• To equip students with skills for practical application in machine learning
• To prepare students for entry-level Data Scientist positions