Introduction to R Programming - Basics of R Software
41 videos • 1,592 views • by Prof Madana Mohana R Online MOOCs Course on "Introduction to R Programming - Basic of R Software" . This course comprises 39 audio-video spoken tutorials with Live practical demonstrations, using which you can self-learn R programming language with ease. Complete all the videos in the given sequence one by one. Target Learners: High School and UG/PG CSE/CS/IT students and anyone who wishes to learn basic statistical data analysis. About R: R (http://www.r-project.org/) is an open source software - a well organized and sophisticated package - that facilitates data analysis, modelling, inferential testing and forecasting. It is a user friendly software which allows to create new function commands to solve statistical problems. It runs on a variety of UNIX platforms (and similar systems such as LINUX), Windows and Mac OS. R is the most preferred open-source language for analytics and data science. At Microsoft, R is used by its data scientists, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing, and Finance departments. Twitter has been using R for measuring user-experience. On the other hand, the cross-platform compatibility of R and its capacity to handle large and complex data sets make it an ideal tool for academicians to analyze data in their labs. R can be used for simple calculations, matrix calculations, differential equations, optimisation, statistical analysis, plotting graphs, etc. Also, it is useful to anybody who wishes to undertake extensive statistical computations and data visualization. MOOCS CERTIFICATE PLATFORM: To get International Certificate from Udemy use the following link to access the course on Udemy platform: https://www.udemy.com/share/103uaO/ COURSE CONTENT: 1: Basic Fundamentals 2: Functions and Matrix operations 3: Conditional Executions and Loops 4: Data Management: Sequences, Repeats, Sorting, Ordering, and Lists. 5: Vector Indexing 6: Data Management 7: Data Frames 8: Graphics and Plots Instructor: Prof. RASINENI MADANA MOHANA Associate Professor, Computer Science and Engineering. I work in the area of Information Retrieval and Machine Learning. My specific research interests lie in "Efficient techniques for Information Retrieval and Recognition using Image Processing, Machine Learning and Deep Learning". Current Research: "Intelligent Fish Stock Prediction" using Image Processing, Machine Learning and Deep Learning. ...HAPPY LEARNING...