R Programming for Data Analysis Ultimate Guide

6.12 GB | 40min 2s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -0 1 Lecture Part A - Course Intro.mp4 (53.92 MB)
2 -0 2 Lecture Part B - Overview of R and R Studio.mp4 (24.22 MB)
3 -0 3 Lecture Part C - Install R and Launching R Studio.mp4 (13.3 MB)
4 -0 4 Lecture Part D - Intro to R Packages and Installation.mp4 (38.43 MB)
5 -0 5 Demo Overview of Course Folder Structure.mp4 (32.41 MB)
5 -CoursePack R for Data Analysts.zip (43.31 MB)
6 -0 6 Demo Part A - How to Download R and R Studio.mp4 (21.34 MB)
7 -0 7 Demo Part B - How to Install R.mp4 (21.41 MB)
8 -0 8 Demo Part C - How to Install R Studio.mp4 (17.87 MB)
9 -0 9 Demo Part D - Navigate R and R Studio.mp4 (28.06 MB)
1 -Congratulations!!!.mp4 (12.32 MB)
1 -1 1 Lecture Part A - Summary of Data Objects and Structures.mp4 (51.85 MB)
2 -1 2 Lecture Part B - Define Path and Load Data.mp4 (53.47 MB)
3 -1 3 Lecture Part C - Write Data.mp4 (24.71 MB)
4 -1 4 Welcome to Lab 1 Overview.mp4 (17.8 MB)
5 -1 5 Problem 1 Install R Packages.mp4 (49.68 MB)
6 -1 6 Problem 2 Define Folder Paths and Setup Directories.mp4 (22.61 MB)
7 -1 7 Problem 3 Load Data into R Workspace.mp4 (120.97 MB)
8 -1 8 Problem 4 Write Data into R Workspace.mp4 (98.79 MB)
9 -1 9 Extra Problem Capture a Snapshot Date from Filenames.mp4 (120.6 MB)
1 -2 1 Lecture Data Types and Data Type Conversion in R.mp4 (30.41 MB)
2 -2 2 Lecture Check Column Names and Rename Columns.mp4 (18.12 MB)
3 -2 3 Lecture Date Formatting - Year, Month, etc.mp4 (35.97 MB)
4 -2 4 Lecture Character Formatting - Add Leading Zeros.mp4 (21.7 MB)
5 -2 5 Welcome to Lab 2 Overview.mp4 (17.16 MB)
6 -2 6 Problem 1 Check Data Types.mp4 (65.85 MB)
7 -2 7 Problem 2 Rename Columns.mp4 (19.08 MB)
8 -2 8 Problem 3 Date Formatting.mp4 (52.52 MB)
9 -2 9 Problem 4 Add Leading Zeros.mp4 (65.05 MB)
1 -3 1 Lecture Clean Data (drop columns, remove duplicates).mp4 (25.79 MB)
10 -3 10 Problem 5 Sort Data.mp4 (49.29 MB)
11 -3 11 Problem 6 Subset Data.mp4 (90.61 MB)
2 -3 2 Lecture Clean Data (recode and replace values).mp4 (17.25 MB)
3 -3 3 Lecture Sort and Order Data.mp4 (28.96 MB)
4 -3 4 Lecture Subset Data (Columns, List, Conditions).mp4 (30.99 MB)
5 -3 5 Welcome to Lab 3 Overview.mp4 (13.13 MB)
6 -3 6 Problem 1 Cleaning Data.mp4 (48.41 MB)
7 -3 7 Problem 2 Recode Data.mp4 (28.78 MB)
8 -3 8 Problem 3 Replace Data.mp4 (61.39 MB)
9 -3 9 Problem 4 Arrange Data.mp4 (54.42 MB)
1 -4 1 Lecture What is Join and Types of Join.mp4 (35.45 MB)
10 -4 10 Problem 4 Advanced Join Temporal.mp4 (167.8 MB)
11 -4 11 Problem 5 Advanced Subquery Max().mp4 (146.1 MB)
12 -4 12 Extra Problem Identify Changes in Account Information.mp4 (180.37 MB)
2 -4 2 Lecture Perform Joins with dplyr.mp4 (32.5 MB)
3 -4 3 Lecture Perform Joins with sqldf.mp4 (42.39 MB)
4 -4 4 Lecture Advanced Join Problem - Temporal.mp4 (38.53 MB)
5 -4 5 Lecture Advanced Join Problem - Subquery with Max().mp4 (57.13 MB)
6 -4 6 Weclome to Lab 4 Overview.mp4 (28.52 MB)
7 -4 7 Problem 1 Perform Joins with dplyr.mp4 (135.9 MB)
8 -4 8 Problem 2 Perform Joins with sqldf.mp4 (71.28 MB)
9 -4 9 Problem 3 Perform Joins on Multiple Tables.mp4 (82.13 MB)
1 -5 1 Lecture Summarize Data (count(), sum(), etc ).mp4 (46.65 MB)
10 -5 10 Problem 4 Convert a Summary Table Format.mp4 (75.01 MB)
11 -5 11 Problem 5 Feature Engineering.mp4 (106.21 MB)
2 -5 2 Lecture Filtering and Slicing Data.mp4 (41.99 MB)
3 -5 3 Lecture Convert a Summary Table Format.mp4 (29.98 MB)
4 -5 4 Lecture Feature Engineering using mutate().mp4 (41.33 MB)
5 -5 5 Welcome to Lab 5 Overview.mp4 (21.87 MB)
6 -5 6 Problem 1 Summarize Data with dplyr using summarize().mp4 (94.57 MB)
7 -5 7 Problem 2 Filter Data with dplyr.mp4 (53.01 MB)
8 -5 8 Problem 2 Slice Data with dplyr.mp4 (34.61 MB)
9 -5 9 Problem 3 Sort Data with dplyr.mp4 (18.04 MB)
1 -6 1 Lecture Calculate Time Features using Date Manipulation.mp4 (30.04 MB)
10 -6 10 Problem 4 Calculate a Measure at Daily Snapshot.mp4 (86.54 MB)
11 -6 11 Extra Problem Calculate a Measure at Monthly Snapshot.mp4 (70.49 MB)
2 -6 2 Lecture Calculate Event Sequence Analysis.mp4 (21.81 MB)
3 -6 3 Lecture Calculate Number of Business Days.mp4 (63.41 MB)
4 -6 4 Lecture Calculate KPIs with Different Frequencies.mp4 (51.48 MB)
5 -6 5 Welcome to Lab 6 Overview.mp4 (17.11 MB)
6 -6 6 Problem 1 Date Manipulation - Time Dimension.mp4 (98.87 MB)
7 -6 7 Problem 1 Date Manipulation - Durations.mp4 (40.13 MB)
8 -6 8 Problem 2 Calculate Event Sequence Analysis.mp4 (211.44 MB)
9 -6 9 Problem 3 Calculate Business Days using bizdays Package.mp4 (103.62 MB)
1 -7 1 Lecture Intro to Exploratory Data Analysis.mp4 (36.65 MB)
10 -7 10 Lecture Bi-Variate Cross Tabulation.mp4 (21.01 MB)
11 -7 11 Welcome to Lab 7 Overview.mp4 (22.85 MB)
12 -7 12 Problem 1 Uni-Variate Categorical Bar Chart.mp4 (129.95 MB)
13 -7 13 Problem 1 Uni-Variate Categorical Pie Chart.mp4 (65.74 MB)
14 -7 14 Problem 2 Uni-Variate Numerical Line Chart.mp4 (73.15 MB)
15 -7 15 Problem 2 Uni-Variate Numerical Histogram and Density Plot.mp4 (38.09 MB)
16 -7 16 Problem 3 Bi-Variate Categorical Charts Cross Tab.mp4 (80.53 MB)
17 -7 17 Problem 4 Bi-Variate Numerical Charts Box Plot.mp4 (33.15 MB)
18 -7 18 Problem 4 Bi-Variate Numerical Charts Scatter Plot.mp4 (68.05 MB)
19 -7 19 Problem 4 Bi-Variate Numerical Charts Correlation Matrix.mp4 (88.82 MB)
2 -7 2 Lecture Uni-Variate Bar Chart.mp4 (18.84 MB)
3 -7 3 Lecture Uni-Variate Pie Chart.mp4 (22.86 MB)
4 -7 4 Lecture Uni-Variate Line Chart.mp4 (21.54 MB)
5 -7 5 Lecture Uni-Variate Histogram.mp4 (5.68 MB)
6 -7 6 Lecture Uni-Variate Density.mp4 (6.06 MB)
7 -7 7 Lecture Bi-Variate Box Plot.mp4 (11.26 MB)
8 -7 8 Lecture Bi-Variate Scatter Plot.mp4 (21.89 MB)
9 -7 9 Lecture Bi-Variate Correlation Matrix.mp4 (17.71 MB)
1 -Capstone Project 1 - OpenAirBnB.mp4 (47.46 MB)
2 -8 1 Capstone Project 1 - Solution Part A.mp4 (305.22 MB)
3 -8 2 Capstone Project 1 - Solution Part B.mp4 (392.82 MB)
4 -8 3 Capstone Project 1 - Solution Part C.mp4 (458.17 MB)
5 -8 4 Capstone Project 1 - Solution Part D.mp4 (258.24 MB)]
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