These six steps can help you to break the data analysis process into smaller, manageable parts, which is called structured thinking. This process involves four basic activities:
Source: Google Analytics Certificate program, coursera.org
It's impossible to solve a problem if you don't know what it is. These are some things to consider:
Questions to ask yourself in this step:
You will decide what data you need to collect in order to answer your questions and how to organize it so that it is useful. You might use your business task to decide:
Questions to ask yourself in this step:
Clean data is the best data and you will need to clean up your data to get rid of any possible errors, inaccuracies, or inconsistencies. This might mean:
Questions to ask your self in this step:
You will want to think analytically about your data. At this stage, you might sort and format your data to make it easier to:
Questions to ask yourself in this step:
Everyone shares their results differently so be sure to summarize your results with clear and enticing visuals of your analysis using data viz tools like graphs or dashboards. This is your chance to show the stakeholders you have solved their problem and how you got there. Sharing will certainly help your team:
Questions to ask yourself in this step:
Now it's time to act on your data. You will take everything you have learned and put it to use. This could mean providing your stakeholders with recommendations based on your findings so they can make data-driven decisions.
Questions to ask yourself in this step:
Click below links and then the "copy" button for the google sheets examples of different data visualizations. If you don't have a google account, go to www.google.com to register one and sign in before you can use the examples.
ATLAS.ti is software for the qualitative analysis of large bodies of textual, graphical, audio and video data.
Self-service business intelligence with unmatched flexibility for smarter business decisions. (Formerly known as Data Studio)
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system, or for stream processing in a relational data stream management system.
BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery's serverless architecture lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management. BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes.
ArcGIS Online (AGOL) is ESRI's Cloud GIS platform for searching and sharing of maps and geospatial data.
The following ESRI applications require an AGOL account:
ArcGIS Pro Desktop Application | |
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ArcGIS Community Analyst | |
ArcGIS Insights |
GeoPlanner for ArcGIS | |
AppStudio Developer Edition |
Through the AGOL interface, accounts need to tie to specific users, who need to be members of the TU AGOL organization. Mobile apps like Collector for ArcGIS and Survey123 are free to download, but require an AGOL account tied to an organization (i.e. not a public account).
A limited number of accounts are available for each of these six applications.
To inquire about Towson ArcGIS Online accounts, contact TU Center for GIS at gisHelp@towson.edu during normal business hours.
These resources are provided by the organization that maintains ArcGIS.
These guides have been produced by librarians and university professors to help users get started with ArcGIS
The following asynchronous online courses are offered through LinkedIn Learning. Towson University faculty, staff, and students should log-in using their TU credentials. Learn more about LinkedIn Learning on the Office of Technology Services website. Questions about LinkedIn Learning should be directed to OTS.
QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.
Google Earth Pro is a 3D interactive globe and mapping program that can be used to aid planning, analysis and decision making
These resources are provided by the organization that created and maintains Google Earth.
These guides have been produced by librarians and university professors to help users get started with Google Earth Pro