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

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Title: Lynda - Python Statistics Essential TrainingGroup: NOGRPSource: Lynda
Info Hash
33DB7F198B1A9C1FFB88658FA91F6F4B048505D1
Source
Unverified
Total Size
431.19 MB
Total Files
78
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt476 B
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt526 B
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt1.18 KB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt1.33 KB
0.Introduction/03.Using the exercise files.en.srt1.36 KB
0.Introduction/02.What you need to know.en.srt1.51 KB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt1.57 KB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt1.59 KB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt1.63 KB
0.Introduction/01.Welcome.en.srt1.83 KB
4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt2.31 KB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt2.56 KB
2.2. Importing and Cleaning Data/08.The structure of data.en.srt2.73 KB
6.Conclusion/39.Next steps.en.srt3.23 KB
1.1. Installation and Setup/07.Using Python in the cloud.en.srt3.32 KB
1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt3.55 KB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt3.73 KB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt4.2 KB
3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt4.32 KB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt5.02 KB
3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt5.63 KB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt5.79 KB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt5.84 KB
3.3. Visualizing and Describing Data/15.Describe distributions.en.srt6.95 KB
2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt7.07 KB
5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt7.09 KB
3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt7.26 KB
5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt7.36 KB
4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt7.66 KB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt8 KB
3.3. Visualizing and Describing Data/16.Plot distributions.en.srt8.08 KB
2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt8.3 KB
3.3. Visualizing and Describing Data/14.The power of visualization.en.srt8.44 KB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt9.06 KB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt9.77 KB
3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt10.57 KB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt11.13 KB
4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt11.68 KB
2.2. Importing and Cleaning Data/11.Data cleaning.en.srt13.22 KB
4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp41.12 MB
0.Introduction/02.What you need to know.mp41.23 MB
3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp41.33 MB
5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp42.39 MB
5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp42.8 MB
4.4. Introduction to Statistical Inference/24.Statistical inference.mp42.88 MB
6.Conclusion/39.Next steps.mp42.9 MB
0.Introduction/03.Using the exercise files.mp43 MB
2.2. Importing and Cleaning Data/08.The structure of data.mp43.05 MB
2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp43.39 MB
5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp44.02 MB
4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp44.29 MB
3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp44.63 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp46.53 MB
0.Introduction/01.Welcome.mp46.91 MB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp48.1 MB
1.1. Installation and Setup/07.Using Python in the cloud.mp48.8 MB
3.3. Visualizing and Describing Data/15.Describe distributions.mp49.07 MB
2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp410 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp410.32 MB
5.5. Introduction to Statistical Modeling/35.Logistic regression.mp411.09 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp411.16 MB
3.3. Visualizing and Describing Data/20.Plot categorical variables.mp411.94 MB
3.3. Visualizing and Describing Data/19.Describe categorical variables.mp411.97 MB
5.5. Introduction to Statistical Modeling/34.Cross validation.mp413.1 MB
4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp413.35 MB
5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp413.99 MB
5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp416.49 MB
3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp416.72 MB
4.4. Introduction to Statistical Inference/26.Bootstrapping.mp417.06 MB
4.4. Introduction to Statistical Inference/25.Confidence intervals.mp417.18 MB
3.3. Visualizing and Describing Data/16.Plot distributions.mp418.79 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp418.89 MB
5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp419.04 MB
4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp419.52 MB
3.3. Visualizing and Describing Data/14.The power of visualization.mp420.03 MB
3.3. Visualizing and Describing Data/18.More quantitative variables.mp421.5 MB
3.3. Visualizing and Describing Data/21.Personal email analytics.mp428.99 MB
2.2. Importing and Cleaning Data/11.Data cleaning.mp433.44 MB

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