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种子名称： [FreeCourseSite.com] Udemy - R Programming R Language for Absolute Beginners
文件类型： 视频
文件数目： 100个文件
文件大小： 4.28 GB
收录时间： 2023-9-5 00:48
已经下载： 3次
资源热度： 76
最近下载： 2024-5-14 11:52

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[FreeCourseSite.com] Udemy - R Programming R Language for Absolute Beginners.torrent

1 - Course Intro/1 - Welcome.mp485.65MB

10 - Course Break/48 - Course Break.mp411.21MB

11 - Libraries/49 - Installing Libraries.mp485.82MB

11 - Libraries/50 - Loading Libraries.mp49.43MB

12 - Working with Data Frames/51 - Introduction.mp49.29MB

12 - Working with Data Frames/52 - Inspecting Data Frames.mp488.98MB

12 - Working with Data Frames/53 - Filtering Data Frames.mp4106.23MB

12 - Working with Data Frames/54 - Creating New Columns in a Data Frame.mp455.45MB

12 - Working with Data Frames/55 - Apply Family.mp467.77MB

12 - Working with Data Frames/56 - New Column with Sapply.mp484.71MB

12 - Working with Data Frames/57 - Aggregating and Sorting.mp470.7MB

12 - Working with Data Frames/58 - Merging Data Frames.mp489.55MB

12 - Working with Data Frames/59 - Extra Merging Data Frames using a SQLLike Library.mp430.26MB

12 - Working with Data Frames/60 - Plotting Overview Base R.mp487MB

12 - Working with Data Frames/61 - GGPlot 2 Overview.mp438.16MB

13 - Loading External Data/63 - Exploring Working Directories.mp475.35MB

13 - Loading External Data/64 - Loading CSV Files.mp449.67MB

13 - Loading External Data/65 - Loading Excel xlsxlsx Files.mp4296.84MB

13 - Loading External Data/66 - Loading data from a MySQL Database.mp4194.55MB

14 - Real World Data Frame Analysis Walmart Data/67 - Introduction.mp420.31MB

14 - Real World Data Frame Analysis Walmart Data/68 - Loading the Data.mp419.47MB

14 - Real World Data Frame Analysis Walmart Data/69 - Extracting the Number of Rows.mp45.11MB

14 - Real World Data Frame Analysis Walmart Data/70 - Checking the First Rows.mp43.98MB

14 - Real World Data Frame Analysis Walmart Data/71 - Counting Rows by Store.mp47.53MB

14 - Real World Data Frame Analysis Walmart Data/72 - Converting to a Data Frame.mp47.33MB

14 - Real World Data Frame Analysis Walmart Data/73 - Extracting the Store with most Rows.mp412.46MB

14 - Real World Data Frame Analysis Walmart Data/74 - Summing up the Total Sales by Store.mp411.08MB

14 - Real World Data Frame Analysis Walmart Data/75 - Modifying Column Names.mp46.08MB

14 - Real World Data Frame Analysis Walmart Data/76 - Plotting Total Sales per Store.mp413.74MB

14 - Real World Data Frame Analysis Walmart Data/77 - Extracting the Mean of every Column.mp412.4MB

14 - Real World Data Frame Analysis Walmart Data/78 - Creating a New Column.mp426.07MB

14 - Real World Data Frame Analysis Walmart Data/79 - Plotting the Sales by Date for a Specific Store.mp4111.38MB

14 - Real World Data Frame Analysis Walmart Data/80 - Using Ggplot to Enhance the Sales Plot.mp453.54MB

14 - Real World Data Frame Analysis Walmart Data/81 - Plotting the Sales By Date for Multiple Departments.mp499.43MB

15 - Working with Excel Files/82 - Reading the Crime Data Excel File.mp412.59MB

15 - Working with Excel Files/83 - Setting Column Names.mp47.77MB

15 - Working with Excel Files/84 - Building a Pipeline and Dropping Null Values.mp446.47MB

15 - Working with Excel Files/85 - Preparing Row Names.mp413.45MB

15 - Working with Excel Files/86 - Drop Columns.mp427.19MB

15 - Working with Excel Files/87 - Convert Data to Numeric.mp418.87MB

15 - Working with Excel Files/88 - Assigning Row Names.mp415.02MB

15 - Working with Excel Files/89 - Automating Column Selection.mp437.7MB

15 - Working with Excel Files/90 - Hardcoded Selection vs Automated Rule Based Selection.mp417.67MB

15 - Working with Excel Files/91 - Aggregating Data and Bar Plotting.mp477.45MB

16 - Functions/93 - Functions Intro.mp457.16MB

16 - Functions/94 - Functions Arguments.mp427.24MB

16 - Functions/95 - Functions Control Flow Loops.mp459.5MB

16 - Functions/96 - Functions Control Flow If Statements.mp447.69MB

16 - Functions/97 - Functions Control Flow While Loops.mp436.11MB

16 - Functions/98 - Functions Working with Data 1.mp468.96MB

16 - Functions/99 - Functions Working with Data 2.mp428.41MB

17 - Statistics Overview/100 - Visualizing Data Distributions.mp448.54MB

17 - Statistics Overview/101 - Mean and Median.mp420.89MB

17 - Statistics Overview/102 - Mode.mp416.4MB

17 - Statistics Overview/103 - Comparing Distributions.mp460.47MB

17 - Statistics Overview/104 - Spread of a Data Distribution.mp457.82MB

17 - Statistics Overview/105 - Boxplots.mp451.37MB

18 - Course Preview R For Data Science/107 - R for Data Science Course Preview.mp45.84MB

18 - Course Preview R For Data Science/108 - Training a Linear Regression Using R.mp430.66MB

18 - Course Preview R For Data Science/109 - Training a Decision Tree using R.mp424.49MB

19 - Course Ending/110 - Where to go from here Learning Paths after Learning R.mp411.12MB

19 - Course Ending/112 - Final Notes.mp415.78MB

2 - Installing R and R Studio/3 - Installing R.mp435.25MB

2 - Installing R and R Studio/4 - Installing R Studio.mp450.93MB

3 - Introduction Basic Operations in R/5 - Slides R as a Calculator and Vectors.mp456.53MB

3 - Introduction Basic Operations in R/6 - Using R as a Calculator Simple Calculations.mp424.29MB

3 - Introduction Basic Operations in R/7 - Using R as a Calculator Functions.mp422.41MB

4 - Vectors and the Environment/10 - Creating Vectors and Knowing the Environment.mp438.92MB

4 - Vectors and the Environment/11 - Vector Indexing and Slicing.mp491.01MB

4 - Vectors and the Environment/12 - Calculations with Vectors.mp446.1MB

4 - Vectors and the Environment/13 - More Functions and Dealing with Unexpected Values.mp453.42MB

4 - Vectors and the Environment/14 - Comparison Operators.mp425.12MB

4 - Vectors and the Environment/15 - Vectors Names Property.mp430.83MB

4 - Vectors and the Environment/16 - Modifying Vector Elements.mp430.63MB

4 - Vectors and the Environment/17 - Comparing R with Excel and SQL.mp468.77MB

4 - Vectors and the Environment/18 - TUTORIAL Completing and Debugging Coding Exercises on Udemy Platform.mp459.97MB

5 - R Data Types/20 - Slides R Data Types.mp416.66MB

5 - R Data Types/21 - Underlying Data Types and Types at the Class Level.mp433.72MB

5 - R Data Types/22 - Checking Data Types of Objects.mp423.77MB

5 - R Data Types/23 - Converting Data Types.mp439.99MB

5 - R Data Types/24 - Introduction to Factors.mp443.64MB

5 - R Data Types/25 - Dealing with Dates.mp459.04MB

6 - R Arrays/27 - Slides Arrays and Matrices.mp425.98MB

6 - R Arrays/28 - Creating Arrays.mp444.11MB

6 - R Arrays/29 - Indexing and Modifying Arrays.mp437.92MB

6 - R Arrays/30 - Array Operations.mp430.52MB

6 - R Arrays/31 - Array Dimnames Property.mp447.91MB

6 - R Arrays/32 - Combining Arrays.mp418.17MB

7 - R Matrices/34 - Creating Matrices.mp431.55MB

7 - R Matrices/35 - Matrix Operations.mp470.95MB

8 - Data Frames Introduction/37 - Slides Data Frames & Lists.mp458.08MB

8 - Data Frames Introduction/38 - Creating a Data Frame.mp463.49MB

8 - Data Frames Introduction/39 - Indexing and Modifying Data Frames.mp421.35MB

8 - Data Frames Introduction/40 - Expanding Data Frames.mp423.92MB

8 - Data Frames Introduction/41 - Removing Elements from Data Frames.mp415.53MB

9 - R Lists/42 - Creating Lists.mp445.32MB

9 - R Lists/43 - List Indexing.mp438.52MB

9 - R Lists/44 - Changing and Adding elements to Lists.mp425.71MB

9 - R Lists/45 - Deleting List Elements.mp421.24MB

9 - R Lists/46 - Combining Lists.mp419.16MB