R Data Analysis Projects
Udemy free download R Data Analysis Projects, with this course you can Get valuable insights from your data by building data analysis systems from scratch with R This course By Packt Publishing "Tech Knowledge in Motion".
37 lectures and 0 generic quizzes On-demand course with full lifetime Access multiple devices. DOWNLOAD YOURS NOW.
One way to know the usability of the course to know how many students took the course. Because if large number of people are taking this course, it means it has some value. So far, the total number of enrolments have crossed 20.
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This Udemy free download course was created in created and has an average 1.5 star rating out of 5. The total reviews for this course are 2 which is a number of reviews and ratings.
What Will You Learn From This Course?
- Build end-to-end predictive analytics systems in R
- Study an experimental design to gather data and conduct analysis
- Implement a recommender system from scratch using different approaches
- Use and leverage RShiny to build reactive programming applications
- Build systems for varied domains including market research, network analysis, social media analysis, and more
- Explore various R Packages such as RShiny, ggplot, recommenderlab, dplyr, and find out how to use them effectively
- Communicate modeling results using Shiny Dashboards
- Perform multi-variate time-series analysis prediction, supplemented with sensitivity analysis and risk modeling
What this instructor say's about His tutorial ?
R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it’s one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis.
This video will demonstrate how you can put to use your existing knowledge of data analysis in R to build highly efficient, end-to-end data analysis pipelines without any hassle. You’ll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets.
You’ll implement time-series modeling for anomaly detection and understand cluster analysis for streaming data. You’ll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow code.
With the help of these real-world projects, you’ll get a better understanding of the challenges faced when building data analysis pipelines, and see how you can overcome them without compromising on the efficiency or accuracy of your systems. The video covers some popularly used R packages such as dplyr, ggplot2, RShiny, and others, and includes tips on using them effectively.
By the end of this video, you’ll have a better understanding of data analysis with R, and will be able to put your knowledge to practical use without any hassle.
About the Author
Gopi Subramanian is a scientist and author with over 18 years of experience in the fields of data mining and machine learning. During the past decade, he has worked extensively in data mining and machine learning, solving a variety of business problems.
He has 16 patent applications with the US and Indian patent offices and several publications to his credit. He is the author of Python Data Science Cookbook by Packt Publishing.
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Here we are presenting one of the courses on Udemy for free. If you want to learn Business this course will help you in Get valuable insights from your data by building data analysis systems from scratch with R and to increase your knowledge about it. Below are the complete details of this course visit this link and start Udemy free download now.
Udemy Free Download R Data Analysis Projects