The data analysis process 1- Prepare the data 2- Model 3- Analyze - Descriptive Analysis: Describe what the data looks like in its basic form. - Exploratory Analysis: Dig deeper to try and find interesting patterns or relationships between different parts of the data. - Inferential Analysis: Use available data to make guesses or predictons about things outside the data. - Predictive Analysis: Use statistics to predict what might happen in the future based on what's happened in the past. 4- Visualize 5- Manage Gathering the right data 1- Identify the Analysis Purpose for example: Drive product development 2- Type of Data for example: Market trends data Competitor data Sales Data 3- Scope of Data For example: Dates: last 5 years ...