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fileLynda-Python-Statistics--1LWhq

Lynda Python Statistics Essential Training
  • MP40.Introduction\\/01.Welcome.mp46.91MB
  • MP40.Introduction\\/02.What you need to know.mp41.23MB
  • MP40.Introduction\\/03.Using the exercise files.mp43.00MB
  • MP41.1. Anaconda Python on OS X.mp48.10MB
  • MP41.1. Anaconda Python on Windows.mp410.32MB
  • MP41.1. Installation and Setup\\/06.Working with Jupyter Notebook.mp46.53MB
  • MP41.1. Python in the cloud.mp48.80MB
  • MP42.2. Importing and Cleaning Data\\/08.The structure of data.mp43.05MB
  • MP42.2. Importing and Cleaning Data\\/09.Create tidy data tables.mp411.16MB
  • MP42.2. pandas.mp418.89MB
  • MP42.2. Importing and Cleaning Data\\/11.Data cleaning.mp433.44MB
  • MP42.2. Importing and Cleaning Data\\/12.✓ Challenge - Personal eil ytics.mp43.39MB
  • MP42.2. Importing and Cleaning Data\\/13.✓ Solution - Personal eil ytics.mp410.00MB
  • MP43.3. Visualizing and Descng Data\\/14.The power of visualization.mp420.03MB
  • MP43.3. Visualizing and Descng Data\\/15.Describe distributions.mp49.07MB
  • MP43.3. Visualizing and Descng Data\\/16.Plot distributions.mp418.79MB
  • MP43.3. Visualizing and Descng Data\\/17.Plots of two quantitative variables.mp416.72MB
  • MP43.3. Visualizing and Descng Data\\/18.More quantitative variables.mp421.50MB
  • MP43.3. Visualizing and Descng Data\\/19.Describe categorical variables.mp411.97MB
  • MP43.3. Visualizing and Descng Data\\/20.Plot categorical variables.mp411.94MB
  • MP43.3. Visualizing and Descng Data\\/21.Personal eil ytics.mp428.99MB
  • MP43.3. Visualizing and Descng Data\\/22.✓ Challenge - More eil ytics.mp41.33MB
  • MP43.3. Visualizing and Descng Data\\/23.✓ Solution - More eil ytics.mp44.63MB
  • MP44.4. Introduction to Statistical Inference\\/24.Statistical inference.mp42.88MB
  • MP44.4. intervals.mp417.18MB
  • MP44.4. Introduction to Statistical Inference\\/26.Bootstrapping.mp417.06MB
  • MP44.4. Introduction to Statistical Inference\\/27.Hypothesis testing.mp419.52MB
  • MP44.4. Introduction to Statistical Inference\\/28.p values and confidence intervals.mp413.35MB
  • MP44.4. Introduction to Statistical Inference\\/29.✓ Challenge - Bootstrapping grades.mp41.12MB
  • MP44.4. Introduction to Statistical Inference\\/30.✓ Solution - Bootstrapping grades.mp44.29MB
  • MP45.5. Introduction to Statistical Modeling\\/31.Statistical modeling.mp42.39MB
  • MP45.5. Introduction to Statistical Modeling\\/32.Fitting models to data.mp416.49MB
  • MP45.5. Introduction to Statistical Modeling\\/33.Goodness of fit.mp413.99MB
  • MP45.5. Introduction to Statistical Modeling\\/34.Cross validation.mp413.10MB
  • MP45.5. Introduction to Statistical Modeling\\/35.Logistic regression.mp411.09MB
  • MP45.5. Introduction to Statistical Modeling\\/36.Bayesian inference.mp419.04MB
  • MP45.5. Introduction to Statistical Modeling\\/37.✓ Challenge - Explaining baby weight at birth.mp42.80MB
  • MP45.5. Introduction to Statistical Modeling\\/38.✓ Solution - Explaining baby weight at birth.mp44.02MB
  • MP46.Conclusion\\/39.Next steps.mp42.90MB
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