data science process define research goal setting the research goal create project charter data retrieval internal data retrieving data data ownership external data errors from data entry physically impossible values missing values data cleansing outliers spacestyposerrors against codebook aggregating data data preparation extrapolating data data transformation derived measures creating dummies reducing number of variables merging/joining data sets combining data set operators creating views simple graphs combined graphs data exploration link and brush nongraphical techniques model and variable selection data modeling model execution model diagnostic and model comparison presenting data presentation and automation automating data analysis figure the six steps of the data science process figure summarizes the data science process and shows the main steps and actions you'll take during project the following list is short introductioneach of the steps will be discussed in greater depth throughout this the first step of this process is setting research goal the main purpose here is making sure all the stakeholders understand the whathowand why of the project in every serious project this will result in project charter the second phase is data retrieval you want to have data available for analysisso this step includes finding suitable data and getting access to the data from the