2023 R 4.0 Programming for Data Science || Beginners to Pro
- Description
- Curriculum
- FAQ
- Reviews
Take your first step towards becoming a data science expert with our comprehensive R programming course. This course is designed for beginners with little or no programming experience, as well as experienced R developers looking to expand their skill set.
You’ll start with the basics of R programming and work your way up to advanced techniques used in data science. Along the way, you’ll gain hands-on experience with popular R libraries such as dplyr, ggplot2, and tidyr.
You will learn how to import, clean and manipulate data, create visualizations and statistical models to gain insights and make predictions. You will also learn data wrangling techniques and how to use R for data visualization.
By the end of the course, you’ll have a solid understanding of R programming and be able to apply your new skills to a wide range of data science projects. You’ll also learn how to use R in Jupyter notebook, so that you can easily share your work and collaborate with others.
So, if you’re ready to take your first step towards becoming a data science expert, this is the course for you! With our hands-on approach and interactive quizzes, you’ll be able to put your new skills into practice right away.
In this course, you learn:
- How to install R-Packages
- How to work with R-data types
- What is R DataFrame, Matrices, Vectors, etc?
- How to work with DataFrames
- How to perform join and merge operations on DataFrames
- How to plot data using ggplot2 in R 4.0
- Analysis of real-life dataset Covid-19
How this course will help you?
This course will give you a very solid foundation in machine learning. You will be able to use the concepts of this course in other machine learning models. If you are a business manager or an executive or a student who wants to learn and excel in machine learning, this is the perfect course for you.
What makes us qualified to teach you?
I am a Ph.D. in Machine Learning and taught tens of thousands of students over the years through my classes at IIT and KGP Talkie YouTube channel. Few of my courses are part of Udemy’s top 5000 courses collection and curated for Udemy Business. I promise you will not regret it.
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4Variable AssignmentsVideo lesson
I will be showing how to assign values to R objects. I will be also discussing the rules of variable assignment in R Programming.
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5Rules of Variable Names in RVideo lesson
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6Arithmetic OperatorsVideo lesson
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7Relational OperatorsVideo lesson
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8Logical OperatorsVideo lesson
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9Assignment OperatorsVideo lesson
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10Miscellaneous OperatorsVideo lesson
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11Function in RVideo lesson
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12Data Types in RVideo lesson
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13Strings AssignmentVideo lesson
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14paste() Function for String ManipulationVideo lesson
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15format() Function for Numeric Data FormattingVideo lesson
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16Colon (:) Operator for Vector GenerationVideo lesson
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17Using [] Operator and c() Function to Access Vector ElementsVideo lesson
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18Vector ManipulationVideo lesson
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19List CreationVideo lesson
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20Named ListVideo lesson
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21List Manipulation and MergingVideo lesson
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22List to Vectors and Vectors to ListVideo lesson
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23Introduction to MatrixVideo lesson
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24Arithmetic Operations on MatrixVideo lesson
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25Arrays IntroductionsVideo lesson
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26Arrays Naming and Accessing the ValuesVideo lesson
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27Factors in RVideo lesson
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28If If-Else and If-Else-If StatementsVideo lesson
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29repeat() and while() LoopsVideo lesson
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30for() LoopVideo lesson
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31next Statement and break StatementVideo lesson
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32Create DataFrame in RVideo lesson
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33Get the DataFrame DetailsVideo lesson
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34Working with [, [[ and $ OperatorVideo lesson
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35Access DataFrames Like MatrixVideo lesson
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36Modify a DataFrameVideo lesson
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37Loading a DataFrame from .CSV FileVideo lesson
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38Load DataFrame from Excel .xlsx FileVideo lesson
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39Loading a DataFrame from .XML FileVideo lesson
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40Loading a DataFrame from .json FileVideo lesson
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41Bind Rows || rbind() and bind_rows()Video lesson
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42Bind Columns || cbind() and bind_cols()Video lesson
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43Data Frame Selection and IndexingVideo lesson
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44Conditional DataFrame Selection with subset()Video lesson
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45Working with DateTime in DataFrameVideo lesson
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46Export DataFrame in .CSV FileVideo lesson
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47Data Frame SortingVideo lesson
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48Groupby on DataFrame in RVideo lesson
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49Data Frame Merge and Join || Inner JoinVideo lesson
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50Left, Right, and Outer Merge (Join) of DataFrame in RVideo lesson
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51Jupyter Notebook IntroductionVideo lesson
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52Anaconda Installation for Windows 10Video lesson
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53Anaconda Installation for LinuxVideo lesson
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54R 4.x Installation in Anaconda with Jupyter NotebookVideo lesson
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55Jupyter Notebook Shortcuts Part 1Video lesson
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56Jupyter Notebook Shortcuts Part 2Video lesson
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57Jupyter Notebook Shortcuts Part 3Video lesson
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58Jupyter Notebook Shortcuts Part 4Video lesson
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59R Coding Practice with Jupyter Notebook vs R-StudioVideo lesson
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60Introduction to GGPlot2Video lesson
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61R Packages Installation and LoadingVideo lesson
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62Must ReadText lesson
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63Covid-19 Dataset LoadingVideo lesson
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64Bar Plot - Top 10 Worst Hit CountriesVideo lesson
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65Add Title, Subtitle and Caption in GGPlotVideo lesson
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66Change Title and Caption Style- Font Size, Color and FaceVideo lesson
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67Change Text Position and Increase Figure SizeVideo lesson
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68Scatter Plot (Point Plot) for Covid-19 DatasetVideo lesson
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69Line Plot for Covid-19 Data || Confirmed, Recovered and Deaths AnalysisVideo lesson
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70Loading the Boston Housing Price Dataset for VisualizationVideo lesson
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71Scatter Plot for Boston Housing DataVideo lesson
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72Pair Plot - Scatter Matrix Plot for Boston Housing DatasetVideo lesson
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73Load Titanic Dataset for VisualizationVideo lesson
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74Data Cleaning and Bar PlotVideo lesson
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75Scatter Plot for Titanic DatasetVideo lesson
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76Histogram PlotVideo lesson
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77Stacked HistogramVideo lesson
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78Density PlotVideo lesson
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79Box PlotVideo lesson
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80Violin PlotVideo lesson
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