Managing Data Analysis by Coursera

This course covers the basics of data analysis and how to manage it. This course will explain the iterative nature and role of asking a sharp question, data analysis, inference, communication, and formal statistical modeling. We will also discuss how to manage analytic activities in a group and drive data analysis towards useful and coherent results.

This course is focused and will quickly get you up-to-speed on data analysis and how to manage it. We wanted to make it as easy as possible without sacrificing any important content. So that you can concentrate on leading your team and driving it forward, we've left out the technical details. This course will teach you ..... 1. The basic data analysis iteration 2 is described. Identify the different types of questions you are asking and convert them into specific data sets. Different types of data pulls can be described To determine whether data are suitable for a question, explore datasets Common data analyses allow for model building. Common data analyses results 7. Combine statistical findings to create coherent data analysis presentations. Course cover image by Fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD