R Programming A-Z™: R For Data Science With Real Exercises!
- Description
- Curriculum
- FAQ
- Reviews
Learn R Programming by doing!
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can’t wait to see you in class,
What you will learn:
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Learn how to use R Studio
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Learn the core principles of programming
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Learn how to create vectors in R
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Learn how to create variables
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Learn about integer, double, logical, character, and other types in R
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Learn how to create a while() loop and a for() loop in R
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Learn how to build and use matrices in R
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Learn the matrix() function, learn rbind() and cbind()
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Learn how to install packages in R
Sincerely,
Kirill Eremenko
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18Welcome to this section. This is what you will learn!
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19What is a Vector?
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20Let's create some vectors
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21Using the [] brackets
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22Vectorized operations
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23The power of vectorized operations
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24Functions in R
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25Packages in R
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26Section Recap
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27HOMEWORK: Financial Statement Analysis
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28Fundamentals of R
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29Welcome to this section. This is what you will learn!
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30Project Brief: Basketball Trends
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31Matrices
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32Building Your First Matrix
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33Naming Dimensions
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34Colnames() and Rownames()
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35Matrix Operations
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36Visualizing With Matplot()
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37Subsetting
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38Visualizing Subsets
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39Creating Your First Function
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40Basketball Insights
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41Section Recap
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42HOMEWORK: Basketball Free Throws
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43Matrices
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44Welcome to this section. This is what you will learn!
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45Project Brief: Demographic Analysis
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46Importing data into R
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47Exploring your dataset
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48Using the $ sign
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49Basic operations with a Data Frame
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50Filtering a Data Frame
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51Introduction to qplot
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52Visualizing With Qplot: Part I
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53Building Dataframes
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54Merging Data Frames
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55Visualizing With Qplot: Part II
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56Section Recap
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57HOMEWORK: World Trends
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58Data Frames
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59Welcome to this section. This is what you will learn!
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60Project Brief: Movie Ratings
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61Grammar Of Graphics - GGPlot2
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62What is a Factor?
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63Aesthetics
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64Plotting With Layers
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65Overriding Aesthetics
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66Mapping vs Setting
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67Histograms and Density Charts
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68Starting Layer Tips
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69Statistical Transformations
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70Using Facets
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71Coordinates
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72Perfecting By Adding Themes
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73Section Recap
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74HOMEWORK: Movie Domestic % Gross
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75Advanced Visualization With GGPlot2
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76Homework Solution Section 2: Law Of Large Numbers
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77Homework Solution Section 3: Financial Statement Analysis
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78Homework Solution Section 4: Basketball Free Throws
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79Homework Solution Section 5: World Trends
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80Homework Solution Section 6: Movie Domestic % Gross (Part 1)
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81Homework Solution Section 6: Movie Domestic % Gross (Part 2)
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82THANK YOU Video