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LifestyleR Programming Ninja Course 2026:Data Science with 5 Projects (Udemy.com)
Complete Beginner to Expert Guide with detailed theory, challenges,Case Studies and Projects .Many courses in one!!
Created by: MG Analytics
Last updated February 2026
What you will learn
- R Programming
- R Datatypes
- R Data Structures
- Vectors, Matrices, Arrays, Lists
- Data analysis
- Data Visualization using GGPLOT2
- Case Studies on Data analysis using R
- Projects on Data analysis using R
- Data Cleaning
- Data Transformations using tidyr, Dplyr
- String Manipulations using Stringr
- Handling Date and Time using Lubridate
- Projects on Data Visualization using R
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.2 out of 5higher than 9% of them
- Reviews165#368 of 462 by number of reviews
- Length22.2 hourslonger than 83% of them
- Last updatedFebruary 2026more recently than 68% of them
Course Description
Data Science and Analytics is a highly rewarding career that allows you to solve some of the world’s most interesting problems. The field of data science has exploded in the past two decades and shows no signs of stopping any time soon. Many big or small businesses and companies wish to make use of the insights gained through the big data.
Due to its open-source nature and its extreme versatility, R has become the primary tool for statistical analysis and data science. With the industry facing a shortage of data scientists all over the world, both novice and professional R programmers can enter. R community represents the cutting-edge in the field of data science.
This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.
This course provides Full-fledged knowledge of R, we cover it all.
Our exotic journey will include the concepts of:
What’s and Why’s of R programming Language – Understanding the need for Statistics, difference between Population and Samples, various Sampling Techniques.
Core knowledge for DataTypes.
String Manipulation and handling using Stringr Package
Data Structures (Vectors, Matrices, Arrays, List)
Loops and Conditions and Functions for programming skills in R.
Dataframes explained in detail and perspective for Data Analysis Process and Concepts.
Most importantly Data Transformations have been covered to make you comfortable with how data should be handled and transformed for analysis.
Date Time Module helps to understand and handle date and time in R.
Descriptive Statistics allows to explore the data summaries for statistics.
Data Visualization using GGPLOT2 used for simple and complex visual analysis.
All the modules include practice questions and case studies to give you idea on the real world problems and enhancing problem solving skills.
5 Projects allow you to perform analysis on datasets with scope for further exploring and enhancing skills while building confidence.
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Instructor Details
- 4.2 Rating
165 Reviews
MG Analytics
I have done B.tech in Computer Science Engineering and 10 + years of experience as a professional instructor and trainer for Data Science and programming. During the course of my career I have developed a skill set in analyzing data and I love sharing my knowledge to help other people learn the power of programming, the ability to analyze data, as well as present the data in clear and beautiful visualizations.
I am a Data Scientist and have experience in python, Deep learning, NLP and Big Data. I provide in-person data science, Machine Learning and Deep Learning training to Data science enthusiasts with 0 to 30+ years of Experience. I believe in learning by doing, hence all of my courses will give an in-depth knowledge of concepts followed by detailed explanations of codes, tips and tricks which I have learnt over years. The sample problems and examples will allow you to explore more and give you enough practice to gain confidence at each and every concept. I am here to help you stay on the cutting edge of Data Science and Technology.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!
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Reviews
By Luiz Rosa on 7/5/2026
The course is good due to the simplicity of the app-building approach; the downside was the lack of more graphics. Since it is a Udemy course, adding subtitles in other languages would also be a good idea. Another necessary change concerns the length of the video lessons, which are extremely long and need to be shortened; there are also issues with background noise in the videos. I hope the instructor reads this and makes some changes, as well as addressing package installation
By Adarsh Bhardwaj on 10/26/2023
The instructor's approach lacks the spark of engagement, and it appears that the program may be unnecessarily stretched beyond its potential. Let's embark on a journey to unravel the full spectrum of its unfolding narrative.
By Victor Enemona Ochigbo on 6/2/2023
so far, the lectures have been impactful. Although i already have knowledge of R programing but i have learnt new things i didnt know
By Nsubuga George William on 12/26/2022
It's very practical with the projects thats why it greatly stands out.
By Harriet Ann Brown on 2/15/2022
Very hard to follow
By Aman Kumar on 2/4/2022
I really Enjoyed the course and learnt a lot from it ! Thanks for this amazing course and hard work !
By Jacob Fernandez on 12/7/2021
This is a fantastic course for detailed theory with advanced projects. Kudos to the instructor!!!!
By Ayush Gupta on 11/24/2021
Instructor has made sure course very well and real life examples have made my understanding very easy . Definitely Looking forward to many such tutorials .
By Xuanhui Liao on 11/13/2021
Best course ever, instructor covers every details with best possible explanation. Love her teaching style!!
By Jade Crumley on 11/13/2021
I am learning the R programming from zero. Instructor has explained everything crystal clear. This course is well structured and I am really enjoying the learning
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 84 / 100
- Video Duration:
22.2h - Price: See price on Udemy
- Provider: Udemy
- Updated:
February 2026 - Level:
All Levels - Language:
English - Certificate:
Yes
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