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University of Michigan

Understanding and Visualizing Data with Python

University of Michigan via Coursera


In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.

Taught by

Brenda Gunderson, Brady T. West and Kerby Shedden


4.7 rating, based on 3 Class Central reviews

Start your review of Understanding and Visualizing Data with Python

  • Anonymous
    This course is practically detail and well-structured. The video lessons are presented with ppt including many samples that is easy to follow and understand. They also provide the 3rd-party tool to practice (Jupyter notebook) with explicit description. Although you might find many lecturers during the course, it's not a big problem. The course is great to enroll.
  • I used this course as a kind of refresher, didn't view all the video lectures. Most of the material was not new to me. The pythonbooks illustrate well the concepts. I particularly liked the peer-reviewed exercise: a study design for a statistical analysis of a pizza restaurant and its competitor.
  • Kai
    This "Understanding and Visualising Data with Python" training offers: 1. lecture videos teaching you concepts 2. graded quizzes 3. a graded assignment where you have to create a survey design 4. Jupyter notebooks with exercises for you to explo…

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