What Is Relationship Management? And Why Do Businesses Use It?
November 21, 2024
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This course is part of Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
Instructor: Sharon Jason
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November 2024
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Code and run your first Python script in minutes without installing anything!
This course is designed for learners with no coding experience. It provides a crash course in Python, enabling the learners to delve into core data analysis topics that can be transferred to other languages. This course will teach you how to import and organize your data, use functions to gather descriptive statistics and perform statistical tests. Experience a truly hands-on, self-paced learning journey with our unique video-free course structure. 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 various 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, a longer-form lab at the end of the course will allow you to apply all learned concepts within a real-world context.
Welcome to Week 1 of the Data Analysis in Python course. These assignments cover introductory topics such as Printing and Sorting, Data Types, and Statistical Functions.
5 readings4 app items
Welcome to Week 2 of the Data Analysis in Python course. These assignments cover logical operators, importing a data frame, and selecting data. The module ends with graded summative assessments.
5 readings4 app items
Welcome to Week 3 of the Data Analysis in Python course. These assignments cover conditionals, handling incomplete data sets, and merges and joins. The module ends with graded summative assessments.
5 readings4 app items
Welcome to Week 4 of the Data Analysis in Python course. These assignments cover Comparison tests, importing a data frame, and selecting data. The module ends with graded summative assessments.
5 readings4 app items
Welcome to Week 5 of the Data Analysis in Python course. This lab covers the material from the first four weeks of this course.
1 app item
Course
University of Colorado Boulder
Specialization
University of Pennsylvania
Course
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