Learn R Programming and Data Science skills in this fun and friendly course! Master data analytics with engaging exercises and real-world applications.
This course is all about boosting your R & R Studio skills! From cleaning and preparing data to performing real-world analysis, you'll become confident in your data journey.
Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2
Ready to take your R Programming skills to the next level?
Want to truly become proficient at Data Science and Analytics with R?
This course is for you!
Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.
In this course, you will learn:
How to prepare data for analysis in R
How to perform the median imputation method in R
How to work with date-times in R
What Lists are and how to use them
What the Apply family of functions is
How to use apply(), lapply() and sapply() instead of loops
How to nest your own functions within apply-type functions
How to nest apply(), lapply() and sapply() functions within each other
And much, much more!
The more you learn, the better you will get. After every module, you will have a robust set of skills to take with you into your Data Science career.
We prepared real-life case studies.
In the first section, you will be working with financial data, cleaning it up, and preparing for analysis. You were asked to create charts showing revenue, expenses, and profit for various industries.
In the second section, you will be helping Coal Terminal understand what machines are underutilized by preparing various data analysis tasks.
In the third section, you are heading to the meteorology bureau. They want to understand better weather patterns and requested your assistance on that.
Perform Data Preparation in R
Identify missing records in dataframes
Locate missing data in your dataframes
5 Lectures
21 Lectures
11 Lectures
14 Lectures
My name is Kirill Eremenko and I am super-psyched that you are reading this!Professionally, I come from the Data Science consulting space with experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy IÂ have passed on my knowledge to thousands of aspiring data scientists.From my...
Hi there,We are the SuperDataScience team. You will hear from us when new SuperDataScience courses are released, when we publish new podcasts, blogs, share cheat sheets, and more!We are here to help you stay on the cutting edge of Data Science and Technology. See you in class,Sincerely,SuperDataScience Team!
Hi there,We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!We are here to help you stay on the cutting edge of Data Science and Technology.See you in class,Sincerely,The Real People at Ligency
Data set site does not work as well as many links
superdatascience.com/course-advanced data set address leads to sales portal?????
Looks like cheeting
Instruction so far is easy to follow and value added.
Excellent course and Kirill Eremenko you are just too good. I have started loving R :-)
great and helpfull course on R advanced analytics đź‘Ť
You are excellent!
I think the contents of each section is well detailed in a rich summarised format.
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good
Good
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Pierre S.
Interesting, but lack of content, too many repetitions, and lack of homework exercises