One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.

Об этом курсе
This course requires a working knowledge of the Python programming language and using Jupyter Notebooks.
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Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library
Приобретаемые навыки
- Dashboards and Charts
- dash
- Python Programming
- Matplotlib
- Data Visualization (DataViz)
This course requires a working knowledge of the Python programming language and using Jupyter Notebooks.
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Программа курса: что вы изучите
Introduction to Data Visualization Tools
Basic and Specialized Visualization Tools
Advanced Visualizations and Geospatial Data
Creating Dashboards with Plotly and Dash
Рецензии
- 5 stars68,67 %
- 4 stars19,84 %
- 3 stars6,14 %
- 2 stars2,78 %
- 1 star2,54 %
Лучшие отзывы о курсе DATA VISUALIZATION WITH PYTHON
This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...
Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!
Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!
Good course, some of the lab assignments did not load properly so it was difficult to practice... (week 2 & 3). Assignment was good after using Jupyter Notebooks as the scripting interface. Thank you!
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