Creating a Penetration Testing Plan: What You Need to Know Before Starting
December 5, 2024
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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 its distribution, and visualize complex data, such as geographically based data. It is recommended that you complete Data Analysis in Python before taking this course. 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.
Welcome to Week 1 of the Visualizing Data & Communicating Results in Python with Jupyter course. These assignments will introduce you to working with a Jupyter Notebook, customizing visualizations and box plots and histograms. The module ends with graded summative assessments.
5 readings4 app items
Welcome to Week 2 of the Visualizing Data & Communicating Results in Python with Jupyter course. These assignments will introduce you to various chart types such as pie, donut, line, area, bubble, and scatter plots. The module ends with graded summative assessments.
5 readings4 app items
Welcome to Week 3 of the Visualizing Data & Communicating Results in Python with Jupyter course. These assignments will introduce you to Specialized Visualization, Layout and Presentation, and Animations. The module ends with graded summative assessments.
5 readings4 app items
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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