1.08 GB | 00:08:19 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Course Overview.mp4 (4.21 MB)
1 Intro.mp4 (2.77 MB)
2 Managing Expectations.mp4 (8.6 MB)
3 The Data Science Steps.mp4 (10.34 MB)
4 Blueprint to Data Exploration.mp4 (7.57 MB)
5 R for Data Exploration.mp4 (7.88 MB)
6 Our Course Dataset.mp4 (7.66 MB)
7 Summary.mp4 (2.92 MB)
1 Intro.mp4 (4.45 MB)
2 Summary Statistics.mp4 (19.35 MB)
3 Boxplots and Data Structure.mp4 (23.28 MB)
4 Probability Distributions.mp4 (9.74 MB)
5 Testing the Distribution.mp4 (10.79 MB)
6 Hypothesis Tests.mp4 (22.34 MB)
7 Summary.mp4 (4.26 MB)
1 Intro.mp4 (3.37 MB)
2 Relationships Between Variables - Overview.mp4 (6.33 MB)
3 Relations between Categorical and Numeric Variables.mp4 (17.14 MB)
4 Relations in Numeric Variables.mp4 (19.69 MB)
5 Visualizing Numeric Correlations.mp4 (8.42 MB)
6 Relations between Categorical Variables.mp4 (22.68 MB)
7 Comparing the Methods Used.mp4 (9.63 MB)
8 Summary.mp4 (3.2 MB)
1 Intro.mp4 (1.72 MB)
2 The Steps after Exploration.mp4 (13.62 MB)
3 Alternative Datasets and Data Exploration.mp4 (9.68 MB)
4 Optimizing Your R Learning Experience.mp4 (8.48 MB)
5 Course Summary.mp4 (7.27 MB)
1 Course Overview.mp4 (5.81 MB)
1 Intro.mp4 (2.91 MB)
2 Managing Expectations.mp4 (8.47 MB)
3 Data Visualizations for Data Exploration.mp4 (5.91 MB)
4 The Diamonds Course Dataset.mp4 (9.47 MB)
5 The 4 Basic Plot Types.mp4 (7.92 MB)
6 Adding Categorical Variables.mp4 (9.51 MB)
7 The 3 Gears of Plotting in R - Base, Lattice, and Ggplot2.mp4 (3.4 MB)
8 Syntax Comparison.mp4 (17.38 MB)
9 Summary.mp4 (2.2 MB)
1 Intro.mp4 (1.98 MB)
2 Visualizing Distributions.mp4 (8.52 MB)
3 Histograms and Density Plots in Lattice.mp4 (16.35 MB)
4 Using Ggplot2 for Distributions.mp4 (10.63 MB)
5 Q-Q Plots.mp4 (12.75 MB)
6 Creating Boxplots.mp4 (7.8 MB)
7 Boxplots in Lattice.mp4 (9.68 MB)
8 Boxplots in Ggplot2.mp4 (4.92 MB)
9 Summary.mp4 (2.05 MB)
1 Intro.mp4 (1.9 MB)
2 Plots Based on Clusters.mp4 (20.57 MB)
3 K-means Clustering in Scatterplots.mp4 (5.43 MB)
4 Scatterplots in Lattice.mp4 (17.77 MB)
5 Scatterplots in Ggplot2.mp4 (21.4 MB)
6 Barcharts for Categorical Data.mp4 (7.61 MB)
7 Barcharts in Lattice.mp4 (11.82 MB)
8 Barcharts in Ggplot2.mp4 (15.97 MB)
9 Summary.mp4 (2.18 MB)
1 Intro.mp4 (1.51 MB)
2 The Data Visualization Task View.mp4 (21.68 MB)
3 What Is R Shiny.mp4 (9.6 MB)
4 Course Summary.mp4 (6.93 MB)
1 Course Overview.mp4 (4.74 MB)
1 Introduction.mp4 (2.07 MB)
2 Managing Expectations.mp4 (6.38 MB)
3 Course Dataset.mp4 (19.19 MB)
4 Data Summary.mp4 (25.85 MB)
5 Research Questions.mp4 (5.58 MB)
6 Summary.mp4 (1.94 MB)
1 Introduction.mp4 (2.71 MB)
2 Using Random Generators for Sampling.mp4 (8.99 MB)
3 Reproducing Pseudo-random Processes.mp4 (24.42 MB)
4 Sampling a Table with R Base.mp4 (9.7 MB)
5 Sampling a Table with Dplyr.mp4 (24.67 MB)
6 Summary.mp4 (3.12 MB)
1 Introduction.mp4 (3.64 MB)
2 Count Based Summaries.mp4 (11.19 MB)
3 Grouped Multivariate Counts.mp4 (13.16 MB)
4 Distributions of Numeric Variables.mp4 (23.27 MB)
5 Combined Plot Series.mp4 (7.11 MB)
6 Times Series Based Summaries.mp4 (22.82 MB)
7 Visualizing Aggregated Data.mp4 (17.85 MB)
8 Summary.mp4 (2.57 MB)
1 Introduction.mp4 (2.89 MB)
2 Correlations in Numeric Variables.mp4 (8.65 MB)
3 Odds Ratio.mp4 (8.68 MB)
4 Logistic Regression for Binary Outcome Variable.mp4 (27.8 MB)
5 Visualizing the Traffic between the Airports.mp4 (26.42 MB)
6 Course Summary.mp4 (11.27 MB)
1 Course Overview.mp4 (3.05 MB)
1 Asking the Right Questions.mp4 (10.72 MB)
2 Getting Familiar with the Data We Have.mp4 (20.58 MB)
3 Asking Questions with Data Visualization - Part 1.mp4 (25.93 MB)
4 Asking Questions with Data Visualization - Part 2.mp4 (15.29 MB)
1 Data Wrangling.mp4 (10.3 MB)
2 Model Foundations.mp4 (9.4 MB)
3 Understanding Our Data.mp4 (23.23 MB)
4 Building the Predictive Models.mp4 (18.96 MB)
5 Choosing a Model and R Markdown.mp4 (30.53 MB)
1 Defining R Markdown.mp4 (12.84 MB)
2 Exploring R Markdown.mp4 (13.75 MB)]
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