R for Data Science: Master Data Analysis with R Learn data analysis, visualization, and machine learning with R in this comprehensive course. Begin with R basics then progress to techniques like data manipulation, interactive visualizations, and machine learning (Regression, Classification, Deep Learning). Work on web apps with R/Shiny with hands-on experience in the lab. Suitable for all levels; 30-day money-back guarantee. Start today!
Instructor: Bert Gollnick
Language: English
Requirements:
- no prior knowledge required – just be passionate to gain new skills
Description:
You want to be able to perform your own data analyses with R? You want to learn how to get business-critical insights out of your data? Or you want to get a job in this amazing field? In all of these cases, you found the right course!
In R for Data Science Course, We will start with the very Basics of R, like data types and -structures, programming of loops and functions, data im- and export.
Then, we will deep dive into the analysis of the data: manipulation of data is learned through data filtering, results aggregation, data reshaping, set operations and joining datasets. We will uncover various techniques in order to visualize complex data. In addition to all these, we’ll know how to communicate time series data and geospatial data interactively.
Advanced Data Manipulation – outlier detection, missing data management, regular expressions, etc.
All of the Machine Learning fields will be covered, such as Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and maybe most importantly Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks,.
You will learn to build web applications and their deployment using R/Shiny.
For each domain, different algorithms are explained in detail: their core concepts are covered in 101 sessions. Here you will see how the algorithm works. Then we implement it together in lab sessions. We develop code, before I encourage you to work on exercise on your own, before you watch my solution examples. With this knowledge you can clearly identify a problem at hand and develop a plan of attack to solve it.
You will understand the advantages and disadvantages of different models and when to use which one. Furthermore, you will know how to take your knowledge into the real world.
You will get access to an interactive learning platform that will help you to understand the concepts much better.
In this course code will never magically appear on the screen via copy/paste. We’ll build every important line of code collaboratively and I will tell you why and how we implement it.
Take a look at some sample lectures. Or visit some of my interactive learning boards. Furthermore, there is a 30 day money back warranty, so there is no risk for you taking the course right now. Don’t wait. See you in the course.
Who this course is for:
- R beginners interested in learning R
- data science practitioners who want to deepen their knowledge
- developers who want to learn different aspects of Machine Learning
Note: Above the listed course has some limited duration offer. kindly enroll the course as soon as possible until the course offer will end.
