Master R Programming through practical exercises for data science. Gain skills in syntax, data structures, and advanced topics like Machine Learning to excel in tech entrepreneurship.
This course is all about diving into R programming and data science with practical exercises. You’ll learn the basics and advanced concepts while solving real problems, setting you up for success in tech entrepreneurship and machine learning. Join in for a fun learning journey!
Hatch as an Expert in R Programming by learning through practical R exercises that you will see in Data Science
You are interested in learning R Programming and getting into the wide realm of data science and R programming and intense Tech Entrepreneurship. You have probably wondered what is the most practical way of learning Python (which to be frank, gives you the key to ruling the technology industry).
I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script. I have also had a successful freelancing career conducting data science projects and programming data science and R applications. Since technology and data is changing every day, I have to learn something new every time. The best way that you can learn how to program is "to program". Yet, nobody teaches in this manner and I suffer from the same pain when learning something new every time. Most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways.
This course covers not only the basics of syntax in R programming, but also covers the more advanced data science structures and data types like Lists, Data Frames, Vectors, Matrices, and Factors. I develop details of the data structures and syntax through exercises that I walk you through in the course. The first part of the course is the introduction to these structures and the syntax. There are 2 lectures on solving tough exercises on each subject so that you can understand not only the syntax and how to the program python, but also what the crux of programming in terms of how we solve problems programmatically and harness the POWER of R Programming and Data Science.
There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of R programming and I urge you to join me on this journey to learn how to dominate the entrepreneurial world with one of the most powerful data science language: R.
Solve data problems programmatically with R Programming
Get a head start in the complex data science technologies of modern day programming in R
Obtain the opportunity to learn more complex things like Machine Learning in R at the end of the course
3 Lectures
5 Lectures
6 Lectures
4 Lectures
1 Lectures
Hi! I'm Dhruval Singh. IÂ am a Machine Learning and SAP Expert. But you can call me a coding geek. I started very early in my career with Java and Python and wanted to know what all tech capabilities I can acquire. I have come a long way (about 7 Programming Language units) and mastered Python, R, Java, SAPÂ FICO,...
I have just started this course and I am at lecture 5 and I am wondering if this course is for someone who has never had R before. I see all the code on the right side I guess I am supposed to know what he is doing- but I don’t. It appears he know what he is doing But I don’t know what he is doing.. I am wondering if this is going to be a waste of my time!
There is zero background in this course for working with the R programming environment(s). I downloaded a base version of RStudio (Windows 10 x64) to try the exercises out myself. I had to give up trying to do the exercises because the differences between the instructor's Mac version and my Windows version and any packages that had been loaded into the instructor's R environment that aren't part of the base Windows environment, e.g., the function rowSums doesn't exist on the Windows base version. It's rowsum for everyone else. You can't even look up rowSums on the web and find it. But it was used several times in this course.
Not explaining clearly enough.
Very good introduction even though only the most basic is covered.
He's very clear on the explanations
Explanations for the concepts can still be improvised; yet a good beginner level course. Must go for learning with.
Excellent course, with great examples!
Okay course, but not too much in the way of explanations.
The course is a great introductory course that explains the basic syntax and various data types in R such as Vectors, Matrices and Lists and some of their basic functions.
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Ryan C.
So far it seems a little bit off the cuff and doesn't seem like a polished course but I also am only two slides in.