From the course: Data for Good: Using Data Science in Nonprofits and NGOs

The next steps for using data for good

From the course: Data for Good: Using Data Science in Nonprofits and NGOs

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The next steps for using data for good

- [Instructor] We've reached the end of the course. By now you have a better idea of how to think of applying your data science skills for social good projects and the different types of opportunities that this opens, but this is far from the end of the journey. Like the example research paper I mentioned in the second challenge, the field of data applications for good is growing and there are many more opportunities to apply this type of thinking. In order to keep up to date, I'd suggest the following. First, set some alerts for different search terms in research sources, like archive, to find out when new applications are being shared around the world. Second, consider finding a local group like Random Acts of Kindness, where you can collaborate on social projects in your local city. Finally, if you'd like to learn some new data science skills, you can also check out all the other courses on LinkedIn Learning. We have a wide variety of courses on machine learning and applied machine learning, as well as technology ethics that can help add to your understanding. Again, I'm Martin Kemka and thanks for joining me on this course.

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