R Ultimate 2024: R for Data Science and Machine Learning
- Description
- Curriculum
- FAQ
- Reviews
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!
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 dive deeper into data analysis: we will learn how to manipulate data by filtering, aggregating results, reshaping data, set operations, and joining datasets. We will discover different visualisation techniques for presenting complex data. Furthermore find out to present interactive timeseries data, or interactive geospatial data.
Advanced data manipulation techniques are covered, e.g. outlier detection, missing data handling, and regular expressions.
We will cover all fields of Machine Learning: Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and, possibly most importantly, Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks, …
You will also learn to develop web applications and how to deploy them with R/Shiny.
For each field, different algorithms are shown in detail: their core concepts are presented in 101 sessions. Here, you will understand 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 come out of thin air via copy/paste. We will develop every important line of code together 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.
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1Course OverviewVideo lesson
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2R and RStudio (Overview and Installation)Video lesson
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3How to get the codeVideo lesson
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4How to get the code (alternative)Text lesson
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5RStudio Introduction / Project SetupVideo lesson
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6File FormatsVideo lesson
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7Rmarkdown LabVideo lesson
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8Package HandlingText lesson
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27Piping 101Video lesson
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28Filtering 101Video lesson
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29Filtering LabVideo lesson
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30Filtering ExerciseText lesson
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31Filtering SolutionText lesson
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32Data Aggregation 101Video lesson
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33Data Aggregation LabVideo lesson
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34Data Aggregation ExerciseText lesson
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35Data Aggregation SolutionText lesson
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36Data Reshaping 101Video lesson
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37Data Reshaping LabVideo lesson
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38Data Reshaping ExerciseText lesson
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39Data Reshaping SolutionText lesson
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40Set Operations 101Video lesson
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41Set Operations LabVideo lesson
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42Joining Datasets 101Video lesson
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43Joining Datasets LabVideo lesson
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53Outlier Detection 101Video lesson
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54Outlier Detection Lab (Intro)Video lesson
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55Outlier Detection LabVideo lesson
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56Outlier Detection ExerciseText lesson
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57Outlier Detection SolutionText lesson
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58Missing Data Handling 101Video lesson
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59Missing Data Handling Lab (Intro)Video lesson
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60Missing Data Handling Lab (1/1)Video lesson
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61Regular Expressions 101Video lesson
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62Regular Expressions LabVideo lesson
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66Regression Types 101Video lesson
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67Univariate Regression 101Video lesson
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68Univariate Regression InteractiveVideo lesson
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69Univariate Regression LabVideo lesson
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70Univariate Regression ExerciseVideo lesson
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71Univariate Regression SolutionVideo lesson
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72Polynomial Regression 101Video lesson
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73Polynomial Regression LabVideo lesson
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74Multivariate Regression 101Video lesson
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75Multivariate Regression LabVideo lesson
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76Multivariate Regression ExerciseVideo lesson
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77Multivariate Regression SolutionVideo lesson
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