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.

Über diesen Kurs
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
Kompetenzen, die Sie erwerben
- 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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Probieren Sie Coursera for Business ausBeginnen Sie damit, auf Ihren Bachelor-Abschluss hinzuarbeiten
Lehrplan - Was Sie in diesem Kurs lernen werden
Introduction to Data Visualization Tools
Basic and Specialized Visualization Tools
Advanced Visualizations and Geospatial Data
Creating Dashboards with Plotly and Dash
Bewertungen
- 5 stars68,70 %
- 4 stars19,80 %
- 3 stars6,15 %
- 2 stars2,79 %
- 1 star2,53 %
Top-Bewertungen von DATA VISUALIZATION WITH PYTHON
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!!!
A great course for you to further understand the mechanics of data visualisation as well as providing a space for you to familiarise and test your understanding on the subject matter.
The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.
This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.
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