R Programming for data science
Learn R programming language to jump start your data science & business analytics career.
This course is part of complete machine learning & data science course with additional modules.
This course is primarily focused on equipping you with necessary details to start learning machine learning & data science. This course is in particular helpful for business analyst, consultants, researchers or anybody who is looking to learn R programming and start exploring data and analytics.
R is one of the most widely used programming language for data science, machine learning & business analytics.
And by learning R, you can swiftly move into machine learning.
Course Highlights
Mail me at [email protected] if you have any questions.
Hi, My name is Akhilendra Singh. I am a product manager with a top IT company and have been practicing product management, program management, business analysis for over 12 years now.
I am a MBA, Certified Business Analyst Professional(CBAP-expired now), Certified scrum product owner, Professional Scrum Master I and quite a few other certifications on machine learning, innovation, entrepreneurship and product design.
I am founder of akhilendra.com where I share information about machine learning, business analysis and various other fields. I have been a webmaster for over 12 years now & in these 12 years, i have learned a lot about digital marketing space which i intend to share through my courses.
Primary objective of these courses is to help you and improve your chances of getting better job in technology. If you have any career related question, please reach out to me.
If you have any question about my courses or any question at all, just message me at;
Email- [email protected]
Website- http://akhilendra.com
Linkedin Profile- Akhilendra pratap Singh | LinkedIn
Twitter- https://twitter.com/akhilendra1
Youtube - https://www.youtube.com/channel/UC5HjZYws0EyazSON_V0FQ_g
Please note this course is part of Complete machine learning & data science course. to checkout that, please click here.