Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu

Bite-Sized Data Science with Python and Pandas: IntroductionFollow along as we analyze a real-life dataset and learn data science with Python and PandasLearn the basics of data science with Python, with this short course designed for students to follow along, and built around a concrete, real-world dataset.Listening to theoretical examples is never fun, and I’ve always liked actually applying what I learn to concrete examples, so this course is built around us analyzing a real-life dataset together. The dataset we’ll be using is the “Parkinson’s Disease Telemedicine dataset”, and our goal will be to see if we can predict the severity of Parkinson’s Disease in patients from just a dozen simple measurements, which would be a vast improvement over the current time consuming process that doctors and patients have to go through.This course will provide a good introduction to several different aspects of data science, and all in Python, one of the most popular and powerful languages used by data scientists today.You’ll learn how to:Set up your data analysis research environment (in an iPython notebook)Visualize the data to understand it betterManipulate and transform data to prepare it for modelingApply a statistical model to the dataThe course is comprised of short lectures which walk you through the data analysis, as you follow along. There are also several coding exercises throughout to test your knowledge!Check out the course to learn data science with Python today!Get Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu, Only Price $11Course CurriculumWelcome, information about this courseIntroduction (1:59)Setting up Python and LibrariesIf you already have Python installed (2:14)File and command to install all necessary libraries at once, with pipNew LectureLinks to help you install pipThe libraries, explained (2:33)If you want to install Python and the libraries at once (1:33)Our data set: the Parkinson’s Telemedicine DatasetDownloading the data (2:32)A quick explanation of the dataset (2:12)Starting our analysisStarting a new iPython Notebook (5:44)Loading the data into our iPython Notebook (3:47)Manipulating data with pandas, the data analysis libraryDataFrames are data tables (2:26)Series are single rows or columns of data (4:17)Slicing DataFrames to get the data we need (2:53)Keeping track of the variable names we need (3:57)Coding Exercise: summary statistics 0:Visualizing the data to understand it better before modelingLooking at the data’s distributions with box plots and histograms (6:26)Seeing multicolinearity with a scatter plot matrix (3:22)tCoding exercise: a single correlationTransforming the data to prepare it for modelingTaking care of multicolinearity (1:54)Log transforming data to take care of skewed distributions (7:31)Coding exercise: practicing apply()Modeling the dataApplying a multiple regression to answer the ultimate question (4:41)ConclusionThank you (1:32)Data and iPython notebookGet Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu, Only Price $11Tag: Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu Review. Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu download. Bite-Sized Data Science with Python and Pandas: Introduction – Troy Shu discount.