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[TutorialPace.com] Lynda - Python Statistics Essential Training - [TP]

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File Name
Size
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt
476 B
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt
526 B
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt
1.2 kB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt
1.3 kB
0.Introduction/03.Using the exercise files.en.srt
1.4 kB
0.Introduction/02.What you need to know.en.srt
1.5 kB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt
1.6 kB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt
1.6 kB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt
1.6 kB
0.Introduction/01.Welcome.en.srt
1.8 kB
4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt
2.3 kB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt
2.6 kB
2.2. Importing and Cleaning Data/08.The structure of data.en.srt
2.7 kB
6.Conclusion/39.Next steps.en.srt
3.2 kB
1.1. Installation and Setup/07.Using Python in the cloud.en.srt
3.3 kB
1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt
3.6 kB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt
3.7 kB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt
4.2 kB
3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt
4.3 kB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt
5.0 kB
3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt
5.6 kB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt
5.8 kB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt
5.8 kB
3.3. Visualizing and Describing Data/15.Describe distributions.en.srt
6.9 kB
2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt
7.1 kB
5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt
7.1 kB
3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt
7.3 kB
5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt
7.4 kB
4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt
7.7 kB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt
8.0 kB
3.3. Visualizing and Describing Data/16.Plot distributions.en.srt
8.1 kB
2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt
8.3 kB
3.3. Visualizing and Describing Data/14.The power of visualization.en.srt
8.4 kB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt
9.1 kB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt
9.8 kB
3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt
11 kB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt
11 kB
4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt
12 kB
2.2. Importing and Cleaning Data/11.Data cleaning.en.srt
13 kB
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4
1.1 MB
0.Introduction/02.What you need to know.mp4
1.2 MB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4
1.3 MB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4
2.4 MB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4
2.8 MB
4.4. Introduction to Statistical Inference/24.Statistical inference.mp4
2.9 MB
6.Conclusion/39.Next steps.mp4
2.9 MB
0.Introduction/03.Using the exercise files.mp4
3.0 MB
2.2. Importing and Cleaning Data/08.The structure of data.mp4
3.1 MB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4
3.4 MB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4
4.0 MB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4
4.3 MB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4
4.6 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4
6.5 MB
0.Introduction/01.Welcome.mp4
6.9 MB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4
8.1 MB
1.1. Installation and Setup/07.Using Python in the cloud.mp4
8.8 MB
3.3. Visualizing and Describing Data/15.Describe distributions.mp4
9.1 MB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4
10 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4
10 MB
5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4
11 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4
11 MB
3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4
12 MB
3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4
12 MB
5.5. Introduction to Statistical Modeling/34.Cross validation.mp4
13 MB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4
13 MB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4
14 MB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4
16 MB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4
17 MB
4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4
17 MB
4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4
17 MB
3.3. Visualizing and Describing Data/16.Plot distributions.mp4
19 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp4
19 MB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4
19 MB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4
20 MB
3.3. Visualizing and Describing Data/14.The power of visualization.mp4
20 MB
3.3. Visualizing and Describing Data/18.More quantitative variables.mp4
22 MB
3.3. Visualizing and Describing Data/21.Personal email analytics.mp4
29 MB
2.2. Importing and Cleaning Data/11.Data cleaning.mp4
33 MB