This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data.
Этот курс входит в специализацию ''Специализация Прикладная наука о данных с Python'
Специализация Прикладная наука о данных с PythonМичиганский университетОб этом курсе
Чему вы научитесь
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Приобретаемые навыки
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
- Matplotlib
от партнера
Сделайте шаг навстречу диплому магистра.
Программа курса: что вы изучите
Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations
Рецензии
- 5 stars66,88 %
- 4 stars23,35 %
- 3 stars6,27 %
- 2 stars1,97 %
- 1 star1,50 %
Лучшие отзывы о курсе APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.
I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.
Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.
Practical course with hands on exercise to make you well versed in Applied Plotting, Charting & Data Representation in Python. I recommend at least every college student should experience this course
Специализация Прикладная наука о данных с Python: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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