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

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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

476B

3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt

526B

5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt

1.18KB

5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt

1.33KB

0.Introduction/03.Using the exercise files.en.srt

1.36KB

0.Introduction/02.What you need to know.en.srt

1.51KB

4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt

1.57KB

2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt

1.59KB

3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt

1.63KB

0.Introduction/01.Welcome.en.srt

1.83KB

4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt

2.31KB

5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt

2.56KB

2.2. Importing and Cleaning Data/08.The structure of data.en.srt

2.73KB

6.Conclusion/39.Next steps.en.srt

3.23KB

1.1. Installation and Setup/07.Using Python in the cloud.en.srt

3.32KB

1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt

3.55KB

2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt

3.73KB

1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt

4.2KB

3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt

4.32KB

1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt

5.02KB

3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt

5.63KB

4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt

5.79KB

3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt

5.84KB

3.3. Visualizing and Describing Data/15.Describe distributions.en.srt

6.95KB

2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt

7.07KB

5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt

7.09KB

3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt

7.26KB

5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt

7.36KB

4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt

7.66KB

5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt

8KB

3.3. Visualizing and Describing Data/16.Plot distributions.en.srt

8.08KB

2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt

8.3KB

3.3. Visualizing and Describing Data/14.The power of visualization.en.srt

8.44KB

4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt

9.06KB

5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt

9.77KB

3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt

10.57KB

5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt

11.13KB

4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt

11.68KB

2.2. Importing and Cleaning Data/11.Data cleaning.en.srt

13.22KB

4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4

1.12MB

0.Introduction/02.What you need to know.mp4

1.23MB

3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4

1.33MB

5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4

2.39MB

5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4

2.8MB

4.4. Introduction to Statistical Inference/24.Statistical inference.mp4

2.88MB

6.Conclusion/39.Next steps.mp4

2.9MB

0.Introduction/03.Using the exercise files.mp4

3MB

2.2. Importing and Cleaning Data/08.The structure of data.mp4

3.05MB

2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4

3.39MB

5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4

4.02MB

4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4

4.29MB

3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4

4.63MB

1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4

6.53MB

0.Introduction/01.Welcome.mp4

6.91MB

1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4

8.1MB

1.1. Installation and Setup/07.Using Python in the cloud.mp4

8.8MB

3.3. Visualizing and Describing Data/15.Describe distributions.mp4

9.07MB

2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4

10MB

1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4

10.32MB

5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4

11.09MB

2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4

11.16MB

3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4

11.94MB

3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4

11.97MB

5.5. Introduction to Statistical Modeling/34.Cross validation.mp4

13.1MB

4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4

13.35MB

5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4

13.99MB

5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4

16.49MB

3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4

16.72MB

4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4

17.06MB

4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4

17.18MB

3.3. Visualizing and Describing Data/16.Plot distributions.mp4

18.79MB

2.2. Importing and Cleaning Data/10.Introducing pandas.mp4

18.89MB

5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4

19.04MB

4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4

19.52MB

3.3. Visualizing and Describing Data/14.The power of visualization.mp4

20.03MB

3.3. Visualizing and Describing Data/18.More quantitative variables.mp4

21.5MB

3.3. Visualizing and Describing Data/21.Personal email analytics.mp4

28.99MB

2.2. Importing and Cleaning Data/11.Data cleaning.mp4

33.44MB

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