Python Data Visualization
Introduction to Scripting in Python,
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
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| Rating | 4.2★ based on 47 ratings |
|---|---|
| Length | 5 weeks |
| Effort | This is a four week class with an expected workload of 5-7 hours per week. |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $79 |
| From | Rice University via Coursera |
| Instructors | Scott Rixner, Joe Warren |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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What people are saying
very good
Very good course.
Very good introduction into using Python for data visualization - it helps me to better understand how data can be presented to aid myself and management to make better decisions when data is presented clearly and accurately.
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| Rating | 4.2★ based on 47 ratings |
|---|---|
| Length | 5 weeks |
| Effort | This is a four week class with an expected workload of 5-7 hours per week. |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $79 |
| From | Rice University via Coursera |
| Instructors | Scott Rixner, Joe Warren |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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