Path Interpreting Data with R (2019)

422.68 MB | 00:07:44 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Course Overview.mp4 (3.57 MB)
1 Introduction.mp4 (1.61 MB)
2 Understanding and Implementing Scatter Plots.mp4 (9.39 MB)
3 Understanding and Implementing Bar Plots.mp4 (5.95 MB)
4 Understanding and Implementing Pie Charts.mp4 (4.09 MB)
5 Understanding and Implementing Histograms.mp4 (4.46 MB)
6 Additional Visualization Tools.mp4 (3.75 MB)
7 Summary.mp4 (1.82 MB)
1 Introduction.mp4 (1.42 MB)
2 Measures of Central Tendency.mp4 (9.98 MB)
3 Measures of Dispersion.mp4 (12.74 MB)
4 Five-number Summary and Boxplots.mp4 (5.97 MB)
5 Summary.mp4 (1.62 MB)
1 Introduction.mp4 (1.25 MB)
2 Understanding Covariance and Correlation.mp4 (6.16 MB)
3 Implementing Covariance and Correlation.mp4 (12.58 MB)
4 Summary.mp4 (1.77 MB)
1 Introduction.mp4 (1.2 MB)
2 Understanding Correlation Matrices.mp4 (5.74 MB)
3 Implementing Correlation Matrices.mp4 (7.4 MB)
4 Correlation Matrix Visualization Methods.mp4 (7.71 MB)
5 Summary.mp4 (1.93 MB)
1 Introduction.mp4 (1.02 MB)
2 Understanding Heatmaps.mp4 (9.26 MB)
3 Implementing Heatmaps.mp4 (9.76 MB)
4 Additional Heatmap Visualization Methods.mp4 (7.02 MB)
5 Summary.mp4 (1.21 MB)
1 Introduction.mp4 (1.26 MB)
2 Understanding Pairs Plots.mp4 (5.82 MB)
3 Implementing Pairs Plots.mp4 (4.79 MB)
4 Additional Pairs Plots Visualization Methods.mp4 (6.06 MB)
5 Further Learning and Next Steps.mp4 (2.92 MB)
6 Summary.mp4 (2.89 MB)
1 Course Overview.mp4 (2.63 MB)
1 Creating Statistical Models.mp4 (7.56 MB)
2 Statistical Models.mp4 (5.57 MB)
3 Examples of Statistical Models.mp4 (5.21 MB)
4 Types of Data.mp4 (9.03 MB)
5 Statistical Paradigms.mp4 (7.28 MB)
1 Probability Distributions.mp4 (9.36 MB)
2 Probability Theory.mp4 (5.32 MB)
3 Finding Model Parameters.mp4 (10.22 MB)
4 Choosing the Best Estimate.mp4 (3.84 MB)
5 Distribution of the Mean and Variance.mp4 (4.82 MB)
6 Further Fitting Methods.mp4 (3.58 MB)
1 Regression.mp4 (5.42 MB)
2 Linear Regression.mp4 (6.13 MB)
3 Categorical Predictors.mp4 (10.11 MB)
4 Non-linear Regression.mp4 (8.77 MB)
1 Statistical Testing.mp4 (7.75 MB)
2 The t-test.mp4 (8.83 MB)
3 Evaluating Tests.mp4 (2.68 MB)
4 Tables of Categorical Data.mp4 (3.06 MB)
5 Differences between Multiple Groups.mp4 (4.8 MB)
6 A Word of Caution.mp4 (4.13 MB)
1 Multi-variable Linear Regression.mp4 (6.29 MB)
2 A Look at Regression Assumptions.mp4 (6.49 MB)
1 Prediction Error on New Data.mp4 (5.77 MB)
2 Improving Prediction Accuracy.mp4 (4.6 MB)
1 Course Overview.mp4 (2.69 MB)
1 Introduction and Data Types.mp4 (3.72 MB)
2 Measurement Scales.mp4 (3.67 MB)
3 Demo.mp4 (6.05 MB)
4 Summary.mp4 (1.85 MB)
01 Intro and Topic Outline.mp4 (1.26 MB)
02 Central Tendency.mp4 (2.43 MB)
03 How to Use Mean.mp4 (1.67 MB)
04 Demo - Mean.mp4 (3.36 MB)
05 When to Use Median.mp4 (4.11 MB)
06 Demo - Median.mp4 (5.39 MB)
07 Mode with Two Data Types.mp4 (1.77 MB)
08 Demo - Mode.mp4 (4.22 MB)
09 Percentiles and Quartiles.mp4 (3.62 MB)
10 Demo - Percentiles and Quartiles.mp4 (3.37 MB)
11 Summary.mp4 (4.22 MB)
01 Intro and Topic Outline.mp4 (1.13 MB)
02 Variance for Population and Sample.mp4 (6.69 MB)
03 Demo - Variance Applied to Home Loans.mp4 (5.49 MB)
04 Standard Deviation for Population and Sample.mp4 (3.5 MB)
05 Demo - Standard Deviation.mp4 (7.26 MB)
08 Coefficient of Variation.mp4 (1.84 MB)
09 Demo - Coefficient of Variation.mp4 (5.65 MB)
10 Summary.mp4 (1 MB)
1 Introduction and Topics Covered.mp4 (1.72 MB)
2 Dataset and Goal of Analysis.mp4 (2.66 MB)
1 Intro and Course Outline.mp4 (1.05 MB)
3 Demo.mp4 (4.47 MB)
4 Summary.mp4 (635.29 KB)]
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