Applied Statistical Modeling for Data Analysis in R (Udemy.com)

I am very impressed. Kindly work on some outdated libraries. But overall it's a great course! I would love you to make courses on data visualization and also on time series analysis. Kudos

Good intro to implementing various statistical analyses in R. I would recommend those considering this course that don't have much experience in R to take an intro to R course first. If I hadn't done so myself, I think I would have had more difficulty following. Also, I learned more by typing out the code myself than using the R Scripts provided.

Lectures were progressive in content; Fair balance of materiaL length; Lecturer well-voiced and may in a few cases, have provided further explanations; Expected a bit more of the quizzes given the content (and background) of the sectional materials; Course basically encompassed 1st year statistical concepts in a precise way; Demos were comprehensive pulling from a variety of dataset which one could visualize.

A genuine attempt to share her information, Mrs. Singh has managed to PACK this course with lots of relevant, insightful analysis and numerous packages. I gained a lot personally. A half star reduced though, because the lectures are recorded with a sense of teaching and imparting information... the 'fun' in the voice and delivery would have made it more gripping. I recommend this course to all who have learnt basic R (did a great course on Udemy itself with Kirrill). This course focusses on 'when and why' to use 'which type' of analysis to better see your data rather than 'how to code' I will be referring back to this course each time I am solving a problem :)

Very good course, it provides practical examples on how to apply different statistical analyses. Some concepts are a bit difficult to grasp and some more theory is missing so some reading by yourself is necessary if you want to fully understand them, but overall a good course. Highly recommend it if you have some background in statistics, if not first take some other more basic course and then come to this one.

It is very good course, material is ready to be applied for my job, so I am quite satisfied with the practical applications. Some issues I have with the course was that by the end of the course, section 7 in particular, teacher is speeding up and missing some important explanations both and theoretical and practical. Likewise good interpretation of the regression results. But nevertheless, my overall impression is very good. Very useful course for anyone who want to apply statistical analysis in R and also for those who want to learn how to do statistical analysis on a good level.

lecture 5- a little too basic right now lecture 13- going great! finally got my hands dirty lecture 35- provided with vortex of information. am revising videos again lecture 62- this is a good juncture to sift through some internet pages and learn some theory on the classification techniques.

The course content is comprehensive, very practical and applicable for people working in research, and the tutor is experienced. Most of the aspects discussed are explained well but there were a few instances that I would like to have seen more detail or more examples. One thing that is missing or that I would like to see was exercises at the end of the sections. The tutor always responded and explained all my queries. I would recommend this course to people working in research.

Well structured course with the right mix of statistical theory and implementation in R. All keep aspects of statistical data analysis have been covered in detail and practically, sans the jargon

Seems to have a good broad coverage of topics The lecturer tries to be very clear with the material, but sometimes the lecturer comes across a bit unprepared (sudden pauses in explanation, unsure how to explain something etc) which can make following the material a bit difficult. In cases like this it might be better to re-record some sections and edit the video afterwards