R Programming A-Z™: R For Data Science With Real Exercises!
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Hit The Ground Running
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Core Programming Principles
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Fundamentals of RWelcome to this section. This is what you will learn!0sWhat is a Vector?0sLet’s create some vectors0sUsing the [] brackets0sVectorized operations0sThe power of vectorized operations0sFunctions in R0sPackages in R0sSection Recap0sHOMEWORK: Financial Statement Analysis0sFundamentals of R
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MatricesWelcome to this section. This is what you will learn!0sProject Brief: Basketball Trends0sMatrices0sBuilding Your First Matrix0sNaming Dimensions0sColnames() and Rownames()0sMatrix Operations0sVisualizing With Matplot()0sSubsetting0sVisualizing Subsets0sCreating Your First Function0sBasketball Insights0sSection Recap0sHOMEWORK: Basketball Free Throws0sMatrices
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Data FramesWelcome to this section. This is what you will learn!0sProject Brief: Demographic Analysis0sExploring your dataset0sUsing the $ sign0sBasic operations with a Data Frame0sFiltering a Data Frame0sIntroduction to qplot0sVisualizing With Qplot: Part I0sBuilding Dataframes0sMerging Data Frames0sVisualizing With Qplot: Part II0sSection Recap0sHOMEWORK: World Trends0sData Frames
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Advanced Visualization With GGPlot2Welcome to this section. This is what you will learn!0sProject Brief: Movie Ratings0sGrammar Of Graphics – GGPlot20sWhat is a Factor?0sAesthetics0sPlotting With Layers0sOverriding Aesthetics0sMapping vs Setting0sHistograms and Density Charts0sStarting Layer Tips0sStatistical Transformations0sUsing Facets0sCoordinates0sPerfecting By Adding Themes0sSection Recap0sHOMEWORK: Movie Domestic % Gross0sAdvanced Visualization With GGPlot2
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Homework SolutionsHomework Solution Section 2: Law Of Large Numbers0sHomework Solution Section 3: Financial Statement Analysis0sHomework Solution Section 4: Basketball Free Throws0sHomework Solution Section 6: Movie Domestic % Gross (Part 1)0sHomework Solution Section 6: Movie Domestic % Gross (Part 2)0sTHANK YOU Video0s
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Special Offer
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Congratulations!! Don’t forget your Prize :)
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:
Learn how to use R Studio
Learn the core principles of programming
Learn how to create vectors in R
Learn how to create variables
Learn about integer, double, logical, character, and other types in R
Learn how to create a while() loop and a for() loop in R
Learn how to build and use matrices in R
Learn the matrix() function, learn rbind() and cbind()
Learn how to install packages in R
Sincerely,
Kirill Eremenko
What's included
- 10.5 hours on-demand video
- 4 articles
- Access on mobile and TV
- Certificate of completion