Path Interpreting Data with Python (2019)

583.72 MB | 00:07:39 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Course Overview.mp4 (3.64 MB)
01 Version Check.mp4 (566.1 KB)
02 Module Overview.mp4 (1.71 MB)
03 Prerequisites and Course Outline.mp4 (1.54 MB)
04 Statistics in Understanding Data.mp4 (6.44 MB)
05 Measures of Central Tendency and Dispersion.mp4 (7.67 MB)
06 Bivariate and Multivariate Descriptive Statistics.mp4 (4.65 MB)
07 Demo - Loading Cleaning and Preparing Data.mp4 (10.63 MB)
08 Demo - Exploring and Visualizing Relationships.mp4 (13.18 MB)
09 Demo - Calculating and Visualizing Correlations.mp4 (17.31 MB)
10 Autocorrelation.mp4 (2.16 MB)
11 Demo - Calculating and Visualizing Autocorrelation.mp4 (9.99 MB)
12 Demo - Line Plots and Bar Graphs.mp4 (7.81 MB)
13 Demo - Box Plots Violin Plots and Pie Charts.mp4 (9.7 MB)
14 Module Summary.mp4 (1.74 MB)
1 Module Overview.mp4 (3.55 MB)
2 Kernel Density Estimation.mp4 (5.05 MB)
3 Demo - Histograms, KDE Plots, Rug Plots.mp4 (14.72 MB)
5 Demo - Pairwise Relationships.mp4 (13.08 MB)
7 Module Summary.mp4 (1.82 MB)
01 Module Overview.mp4 (2.04 MB)
02 Introducing Altair.mp4 (4.06 MB)
03 Demo - Getting Started with Altair.mp4 (16.98 MB)
06 Demo - Interactive Visualizations with Altair.mp4 (17.58 MB)
07 Introducing Plotly.mp4 (2.3 MB)
09 Demo - Geographical Plots Using Bubble Maps.mp4 (7.02 MB)
10 Summary and Further Study.mp4 (1.91 MB)
1 Course Overview.mp4 (3.6 MB)
01 Version Check.mp4 (616.54 KB)
02 Module Overview.mp4 (2.26 MB)
03 Prerequisites and Course Outline.mp4 (1.76 MB)
04 Descriptive Statistics to Summarize Data.mp4 (6.37 MB)
05 Introducing Hypothesis Testing.mp4 (7.65 MB)
06 Lady Tasting Tea.mp4 (7.69 MB)
07 The Power, Alpha and p-value of a Statistical Test.mp4 (3.77 MB)
08 Introducing the t-test.mp4 (6.16 MB)
09 One Sample Location t-test and the Z-Test.mp4 (4.67 MB)
10 Other Types of t-tests.mp4 (9.77 MB)
11 One-way ANOVA.mp4 (9.9 MB)
12 Two-way ANOVA.mp4 (3.84 MB)
13 Pearsons Chi2 Test.mp4 (6.77 MB)
14 Module Summary.mp4 (2.23 MB)
1 Module Overview.mp4 (2.04 MB)
2 Demo - Preparing Data for Hypothesis Testing.mp4 (16.08 MB)
3 Demo - Performing the Independent t-test.mp4 (12.84 MB)
4 Demo - Performing Welchs t-test.mp4 (13.18 MB)
5 Demo - Performing the Paired Difference t-test.mp4 (10.43 MB)
7 Demo - Two-way ANOVA.mp4 (17.9 MB)
8 Demo - Chi2 Analysis.mp4 (15.05 MB)
9 Module Summary.mp4 (2.13 MB)
01 Module Overview.mp4 (1.78 MB)
02 Introducing Linear Regression.mp4 (5.36 MB)
03 Minimizing Mean Square Error.mp4 (4.82 MB)
04 Multiple Regression and Adjusted R-square.mp4 (6.95 MB)
07 Demo - Visualizing Correlations in Data.mp4 (7.21 MB)
10 Module Summary.mp4 (1.86 MB)
1 Module Overview.mp4 (2.44 MB)
2 The Intuition behind Logistic Regression.mp4 (8.94 MB)
3 Logistic Regression and Linear Regression.mp4 (4.76 MB)
4 Accuracy, Precision, and Recall.mp4 (8.28 MB)
7 Summary and Further Study.mp4 (2.74 MB)
1 Course Overview.mp4 (3.23 MB)
01 Version Check.mp4 (591.74 KB)
02 Module Summary.mp4 (2.06 MB)
03 Prerequisites and Course Outline.mp4 (1.53 MB)
04 Introducing Descriptive Statistics.mp4 (5.4 MB)
05 Measures of Central Tendency.mp4 (10.43 MB)
06 Measures of Dispersion.mp4 (6.72 MB)
07 Understanding Variance.mp4 (3.74 MB)
08 The Gaussian Distribution.mp4 (5.12 MB)
09 Sampling Distribution to Estimate Population Mean.mp4 (10.1 MB)
10 Confidence Intervals.mp4 (9.18 MB)
11 Skewness and Kurtosis.mp4 (6.72 MB)
12 Covariance and Correlation.mp4 (6.24 MB)
13 Module Summary.mp4 (1.82 MB)
01 Module Overview.mp4 (3.23 MB)
02 Demo - Getting Started with Pandas.mp4 (8.81 MB)
03 Demo - Mean and Median.mp4 (12.29 MB)
05 Demo - Quantiles and the Interquartile Range.mp4 (10.5 MB)
06 Demo - Variance and Standard Deviation.mp4 (6.01 MB)
08 Demo - Skewness and Kurtosis.mp4 (9.04 MB)
09 Demo - Covariance and Correlation.mp4 (12.53 MB)
11 Module Summary.mp4 (2.21 MB)
1 Module Overview.mp4 (3.24 MB)
2 Demo - Mean and Median.mp4 (10.94 MB)
5 Demo - Z-scores Using SciPy.mp4 (12.34 MB)
9 Summary and Further Study.mp4 (2.56 MB)]
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