Об этом курсе: "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
Для кого этот курс: Anyone interested in data science, and knows how to program in Python or has completed the IBM Cognitive Class Python for Data Science course.
Автор: IBM
Преподаватели: Alex Aklson, Data Scientist
IBM Cognitive Class
| Основные сведения | Course 2 of 4 in the Applied Data Science Specialization |
| Уровень | Intermediate |
| Выполнение | 3 weeks of study, 4-5 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
Программа курса
НЕДЕЛЯ 1
Introduction to Data Visualization Tools
In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.
6 видео, 1 материал для самостоятельного изучения
- Reading: Syllabus
- Видео: Introduction to Data Visualization
- Видео: Introduction to Matplotlib
- Видео: Basic Plotting with Matplotlib
- Видео: Dataset on Immigration to Canada
- Видео: Line Plots
- LTI Item: Introduction to Matplotlib and Line Plots
Оцениваемый: Introduction to Data Visualization Tools
НЕДЕЛЯ 2
Basic and Specialized Visualization Tools
In this module, you learn about area plots and how to create them with Matplotlib, histograms and how to create them with Matplotlib, bar charts, and how to create them with Matplotlib, pie charts, and how to create them with Matplotlib, box plots and how to create them with Matplotlib, and scatter plots and bubble plots and how to create them with Matplotlib.
6 видео
- Видео: Histograms
- Видео: Bar Charts
- LTI Item: Basic Visualization Tools
- Видео: Pie Charts
- Видео: Box Plots
- Видео: Scatter Plots
- LTI Item: Specialized Visualization Tools
Оцениваемый: Basic Visualization Tools
Оцениваемый: Specialized Visualization Tools
НЕДЕЛЯ 3
Advanced Visualizations and Geospatial Data
In this module, you will learn about advanced visualization tools such as waffle charts and word clouds and how to create them. You will also learn about seaborn, which is another visualization library, and how to use it to generate attractive regression plots. In addition, you will learn about Folium, which is another visualization library, designed especially for visualizing geospatial data. Finally, you will learn how to use Folium to create maps of different regions of the world and how to superimpose markers on top of a map, and how to create choropleth maps.
6 видео
- Видео: Word Clouds
- Видео: Seaborn and Regression Plots
- LTI Item: Advanced Visualization Tools
- Видео: Introduction to Folium
- Видео: Maps with Markers
- Видео: Choropleth Maps
- LTI Item: Creating Maps and Visualizing Geospatial Data
Оцениваемый: Advanced Visualization Tools
Оцениваемый: Visualizing Geospatial Data
Оцениваемый: Final Assignment
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
