Introduction to R, Installing R and RStudio, Basics of RStudio IDE, Writing and executing R scripts, Variables and Data Type in R, Operators00:00
Creating vectors, Vector indexing and slicing, Vectorized operations, Creating matrices, Matrix operations, Matrix indexing, Creating lists, Creating data frames, Indexing and manipulating lists and data frames00:00
Conditional statements, Loops, Applying functions, Flow Control, Functions in R, Object-Oriented Programming in R, S3 and S4 classes, Methods and inheritance, Creating and using objects00:00
Creating and using factors, Working with dates and times, Reading and writing(CSV files and Excel files), Introduction to the readr and readxl packages00:00
Introduction to dplyr, Selecting, filtering, and arranging data, Grouping data, Summarizing data with summarize and mutate00:00
Data Manipulation in R- dplyr, Data Manipulation & Data Visualization in R- tidyr00:00
Introduction to Text Mining, Text Preprocessing, Document-Term Matrix (DTM) and TF-IDF, Exploratory Text Analysis, Sentiment Analysis00:00
Install Necessary Packages, Create a New Package, Package Structure, Writing Functions, Documenting Functions, Testing Your Package, Building and Checking and Sharing Your Package00:00
Introduction to APIs, Using the ‘httr’ Package, GET & POST Request, and Authentication, Introduction to Web Scraping, Using the ‘rvest’ Package, Handling Dynamic Content, Handling Sessions and Cookies00:00
Connecting to Databases in R, Packages Installation, Connect to Database, Execute Queries, Write Data, Disconnect and Error Handling00:00
Project Session00:00
