All posts tagged: Coursera

Data Visualization Assignment 1 – That Urbanization Thing

“When you are that curious about the world, scholarship never ends.” – October 18, 2015 As I mentioned in my last post, I started the Data Analysis and Interpretations Specialization with Coursera in order to gain more skills relevant to my pursuit of urban studies and interest in urban planning and development. Our assignment for the first week is to develop a research question based on the data sets provided by the course or another data set of our own choice. With my background and interest in cities, I looked through the code books for each data set looking for relevant data. I decided that the Gapminder data set had the information I needed to look into the effects of urbanization globally. Though the scale is on a national level, which can obscure many relationships, particularly the distinction between rural and urban areas and their respective economies, I look forward to comparing the general trends and effects of urbanization. The increasing rate of urbanization has been accompanied by a corresponding rise in number of urban …

Learning and Growing! Internship and Coursera Specialization!

Last week, I started my internship with WLM Financial – a real-estate brokerage. With my interest in urban planning and development and my background in the social sciences, it appears to be a good fit to work as their Marketing Intern. I was quickly integrated into the marketing team and I am happy to say that the owners have been very trusting and gave me a great opportunity to learn. They have taught me a great deal in the past week about mortgages and real-estate. They are always open to questions and really took me under their wings. I look forward to learning more about the real-estate industry and about business development. Though I am only an intern, my opinions were valued and contributed to the direction the company is taking. Using my skills with ArcGIS, I took the initiative located our target audiences. I integrated demographic data with geospatial data from the U.S. Census Bureau to reveal locations where our target audience might be located. I was quickly able to locate ten cities in …