When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. The emphasis in this course is hands-on and practical learning . You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights. No prior knowledge of R, or programming is required.
This course was excellent! It provided a clear and structured introduction to R for data science. The hands-on exercises were very helpful for building my confidence. Highly recommended!
The videos were very comprehensive and understandable. The quiz covered the fundamentals. Overall, the course was good.
Very well organized in both lesson videos and exercised labs and final project.
I really enjoy the content. It is clear, organized and good quality. My only problem was related with the platform.
Thanks IBM and Coursera for offering a splendid opportunity to learn and transform skills
Great content, perfectly structured for the once who already know programmig. Beginers may need to revise/practice more to keep up with the topics.
Amazing learning experience. Plus point happened at my own pace and had a great AI assistant for personalised queries too.
It's an amazing course with very interesting quizzes and assignments. A must for Data Science aspirants.
It was really fast paced . The video content was understandable and nice but more practice oriented interface along with the video lectures would do the task much better.
The last session was short for me , but the course was amazing useful and very informative
Could be better micromanaged for coaxing beginners but it does pack enough practical exercises to familiarize them with R fundamentals.
Instructor voice is clear. Explained step by step. I love it. Thank you for having a chance to learn.
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Forces using IBM cloud services which requires credit card info to proceed.
This course is not for beginners. It dives into basic concepts without explaining them. I am deeply disappointed.
Not great. The lessons are okay, but the course lacks real activities/exercises so you can actually learn. But the most frustrating thing is the final test. It requires you to register at IBM Cloud and using their platform Watson. However, I couldn't even register properly because my bank did not approve the transaction. It's not worth it to even try to fix that through the bank, because the course has been disappointing so far, and hence I don't trust the final test. They should just give you tasks to perform in Jupyter or RStudio, which is way simpler than going through all this Watson adventure. They should give these tasks throughout the course as well. It seems that the course only exists to promote IBM Cloud and such.
After completing the first 4 weeks, comes the final assignment. Tried to create a Watson Account, followed ALL instructions as given, only to find out my account turned out to be pay per use. Then, I told me to create a new account with a new email to solve the issue. After doing so, I was suddenly directed to my old first account, which was the useless pay per use account that could not get started with the assignment. On the 3rd try, my credit card could not even be registered. What a bloody waste of time and money
Exceptional course for beginners in R programming and data science enthusiasts. Highly recommended!
Great course, with a lot of the necessary information; well organized and laid a good foundation for basic R functions.
I would request a hand-out with all the code, functions and syntaxes from the course, or at least a collation of it in one page/section. It is particularly important when taking the course as part of the specialization series, since I found myself having to return to each lab and comb through them to get some of the syntaxes right for the assignments of later courses.
A big thank you to the developers and team!
It's an amazing course with very interesting quizzes and assignments. A must for Data Science aspirants.
The instructor probably doesn't understand what is "introduction"... the course is shabby, putting together many irrelevant and very difficult concepts, and pretend it is a course. It is not a good course, you can't realistically complete the course without crazy amounts of effort. Don't be fooled this is certainly not a 20 hour course, and you can end up spending like a hundred hours without getting the cert. Don't choose this course.
This is by far the most resourceful and managable way to be introduced to coding language. As a begginer who has basic knowledge of of CMD, I was a bit intimidated by the challenges that lay ahead for me with regards to the perception I had about coding languages. Lo and behold I was taken through hands on lab exercises that peovide the modt meaningful on site experience and a general feel of what one goes through when perfoming certain tasks in the data science sector.
Thank you to all the facilitators and lectures who designed these innovative ways of skill buiding techniques for our convenience, they are true leaders and pioneers of a global society imspired by endless possibilities.
It was difficult! But it was interesting! But I did it!
I havn't friends who work with R.
Tasks are interesting and simple.
Tomorrow I will sign up for the next course. I'm going to bed)
I think the course is fairly easy to follow and touches many of the main basic topics for data analysis in R, I found it good.
Easy to follow with a lot hands on exposure to practice writing your own code
The course is very good and their labs-on area excellent. Congratulations!
great course very well structured. Perfect
Had a good time with the first two weeks then from the third certain topics is just a thrown pieces of information like "this is how it is done and u are supposed to comprehend it or save it whatever easier" especially dealing with web pages (web scraping). Literally spending more time on youtube understanding the thrown concepts highly not recommended for a beginner despite the description at least you ought to have a programming background to know where to look when stuck
Excellent introductory course with very useful hands-on lab sessions.
"Empowering Data Mastery with R: A Transformative Journey" "This course is nothing short of a game-changer for anyone aspiring to master data analysis using R. The instructor's passion and expertise shine through every module, making complex concepts accessible and engaging. The hands-on exercises and real-world applications provide a practical understanding of R's power in unravelling insights from data. What sets this course apart is its seamless blend of theory and application, ensuring a well-rounded learning experience. The carefully crafted curriculum takes you from the basics to advanced techniques, building a solid foundation for data analysis. The interactive nature of the assignments and projects not only reinforces learning but also instills confidence in tackling real-world data challenges. The course's pacing is spot-on, accommodating both beginners and those with prior experience in data analysis. The comprehensive coverage of R's diverse functionalities, including visualization, statistical modeling, and data manipulation, equips students with a versatile skill set. The support from the instructor and the vibrant community fostered within the course forums enhance the overall learning journey. The practical tips and insights shared by the instructor based on real-world scenarios add immense value. In conclusion, 'Empowering Data Mastery with R' is a gem on Coursera, offering a transformative experience that goes beyond the technicalities of R programming. It's a must-enroll for anyone serious about harnessing the full potential of R for data analysis. Kudos to the instructor for creating a course that not only educates but inspires!"
This course was really intuitive and needed less effort to get comfortable at. I love IBM courses because of their organized structure, brevity and problem centric nature of the labs and final assignment. I was a very great experience overall and that applies to all their courses I have taken so far.
I think the peer review sections after marking by the first reviewer should be cross-checked by at least one more reviewer.
Great course for learning R and Data Science!
best