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Visualizing & Communicating Results in Python with Jupyter(으)로 돌아가기

Codio의 Visualizing & Communicating Results in Python with Jupyter 학습자 리뷰 및 피드백

강좌 소개

Code and run your first Python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present data. The modules in this course will cover a wide range of visualizations which allow you to illustrate and compare the composition of the dataset, determine the distribution of the dataset, and visualize complex data such as geographically-based data. Completion of Data Analysis in Python with pandas & matplotlib in Spyder before taking this course is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, an accumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context....
필터링 기준:

Visualizing & Communicating Results in Python with Jupyter의 4개 리뷰 중 1~4

교육 기관: Lam C V D

2022년 11월 5일

교육 기관: MOOC S

2022년 10월 26일

교육 기관: RYAN S

2022년 9월 6일

교육 기관: MOOC S

2022년 7월 16일