Overview:
Learn how to combine three perspectives: inferential thinking, computational thinking, and real-world relevance. Students will learn critical concepts and skills in computer programming and statistical inference, in conjunction
with hands-on analysis of real-world datasets, including economic data, geographical data, and social network. We will also delve into social issues surrounding data analysis such as privacy and design. Since this is
an advanced workshop and we will be working quickly through the material we expect that students have advanced experience programming, ideally in the Python language.
Best for:
Juniors and Seniors who want the tools that are critical for a data-intensive capstone project in any discipline. If you have already taken, or plan to take Statistics, this can add a power tool to your toolchest. This
workshop will expand the skill set of experienced programmers into the world of data science.
Syllabus:
- Get started Jupyter Notebooks in the cloud
- Find a dataset that is relevant in our lives
- Story-telling through data
- Line Plots with datascience, matplotlib, and numpy modules
- Analyze Google trends