HERE IS WHY YOU SHOULD TAKE THIS COURSE:
This course your complete guide to both supervised & unsupervised learning using R…
That means, this course covers all themain aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on R based data science.
In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised & supervised learning in R, you can give your company a competitive edge and boost your career to the next level.
LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:
My name isMinerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.
I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.
Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic…
This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
Unlike other R instructors, I dig deep into the machine learning features of R and gives you a one-of-a-kind grounding in Data Science!
You will go all the way from carrying out data reading & cleaning to machine learning to finally implementing powerful machine learning algorithms and evaluating their performance using R.
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF R MACHINE LEARNING:
• A full introduction to the R Framework for data science
• Data Structures and Reading in R, including CSV, Excel and HTML data
• How to Pre-Process and “Clean” data by removing NAs/No data,visualization
• Machine Learning, Supervised Learning, Unsupervised Learning in R
• Model building and selection…& MUCH MORE!
By the end of the course, you’ll have the keys to the entire R Machine Learning Kingdom!
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