the data science process if you've done this rightyou now have working model and satisfied stakeholdersso we can conclude this here summary in this you learned the data science process consists of six stepssetting the research goal--defining the whatthe whyand the how of your project in project charter retrieving data--finding and getting access to data needed in your project this data is either found within the company or retrieved from third party data preparation--checking and remediating data errorsenriching the data with data from other data sourcesand transforming it into suitable format for your models data exploration--diving deeper into your data using descriptive statistics and visual techniques data modeling--using machine learning and statistical techniques to achieve your project goal presentation and automation--presenting your results to the stakeholders and industrializing your analysis process for repetitive reuse and integration with other tools