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# Coursera---IBM---Statistics-for-Data-Science
Project Scenario: You are a Data Scientist with a housing agency in Boston MA, you have been given access to a previous dataset on housing prices derived from the U.S. Census Service to present insights to higher management. Based on your experience in Statistics, what information can you provide them to help with making an informed decision? Upper management will like to get some insight into the following.

Is there a significant difference in the median value of houses bounded by the Charles river or not?

Is there a difference in median values of houses of each proportion of owner-occupied units built before 1940?

Can we conclude that there is no relationship between Nitric oxide concentrations and the proportion of non-retail business acres per town?

What is the impact of an additional weighted distance to the five Boston employment centres on the median value of owner-occupied homes?

Using the appropriate graphs and charts, generate basic statistics and visualizations that you think will be useful for the upper management to give them important insight given the question they are asking, in your graphs, include an explanation of each statistic. 

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IBM - Statistics for Data Science with Python

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