Udemy Bite Sized Data Science with Python Introduction

/01 Welcome, information about this course/

001 Introduction.mp4

02 Setting up Python and Libraries/

001 File and command to install all necessary libraries at once, with pip.html

001 If you already have Python installed.mp4

002 Links to help you install pip.html

002 The libraries, explained.mp4

003 If you want to install Python and the libraries at once.mp4

03 Our data set the Parkinsons Telemedicine Dataset/

001 Downloading the data.mp4

002 A quick explanation of the dataset.mp4

04 Starting our analysis/

001 Starting a new iPython Notebook.mp4

002 Loading the data into our iPython Notebook.mp4

05 Manipulating data with pandas, the data analysis library/

001 Coding Exercise summary statistics.html

001 DataFrames are data tables.mp4

002 Series are single rows or columns of data.mp4

003 Slicing DataFrames to get the data we need.mp4

004 Keeping track of the variable names we need.mp4

06 Visualizing the data to understand it better before modeling/

001 Coding exercise a single correlation.html

001 Looking at the datas distributions with box plots and histograms.mp4

002 Seeing multicolinearity with a scatter plot matrix.mp4

07 Transforming the data to prepare it for modeling/

001 Coding exercise practicing apply.html

001 Taking care of multicolinearity.mp4

002 Log transforming data to take care of skewed distributions.mp4

08 Modeling the data/

001 Applying a multiple regression to answer the ultimate question.mp4

09 Conclusion/

001 Download the data and iPython notebook that was used throughout this lecture.html

001 Thank you.mp4

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