BiteSize Python for Absolute Beginners: Data Structures
Master Python data structures—lists, tuples, sets, and dictionaries. Learn creation, manipulation, and practical use through hands-on exercises.
Master Python data structures—lists, tuples, sets, and dictionaries. Learn creation, manipulation, and practical use through hands-on exercises.
This beginner-friendly course provides a comprehensive introduction to Python's four essential built-in data structures: lists, tuples, sets, and dictionaries. You'll start by exploring lists, learning how to create, access, slice, and manipulate them, including powerful list comprehension techniques. Next, you'll discover tuples and their unique immutable properties, followed by sets for working with unique, unordered elements and performing set operations. The course then covers dictionaries for key-value pair storage and access. Throughout the modules, you'll practice with hands-on labs and exercises designed to build your confidence. The course concludes with practical case studies applying all four data structures to solve real-world problems, helping you understand when and why to choose each structure for specific scenarios. By the end, you'll have practical skills to efficiently organize and manipulate data in your Python programs.
Instructors:
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What you'll learn
Create and manipulate lists to store ordered collections of items
Work with tuples to maintain immutable sequences of data
Implement sets to manage unique elements and perform set operations
Use dictionaries to store and retrieve data using key-value pairs
Apply list, tuple, set, and dictionary comprehensions for efficient data processing
Choose the appropriate data structure based on specific requirements
Skills you'll gain
This course includes:
9 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course offers a thorough exploration of Python's four primary built-in data structures: lists, tuples, sets, and dictionaries. The curriculum begins with lists, covering their creation, access methods, manipulation techniques, and the powerful concept of list comprehensions. Students then learn about tuples, understanding their immutable nature and various operations. The third module introduces sets, focusing on their unique properties for storing distinct elements and performing mathematical set operations. The fourth module covers dictionaries for key-value pair storage, including creation, access, and dictionary comprehensions. The course culminates in a practical module where students apply all four data structures to a real-world case study involving a grade book, allowing them to compare the advantages and limitations of each structure in context. Throughout the course, hands-on labs reinforce theoretical concepts with practical experience.
The List Data Structure
Module 1 · 4 Hours to complete
The Tuple Data Structure
Module 2 · 2 Hours to complete
The Set Data Structure
Module 3 · 2 Hours to complete
The Dictionary Data Structure
Module 4 · 2 Hours to complete
Data Structure Case Studies
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Teaching Assistant Professor
Dr. Di Wu is a Teaching Assistant Professor at the University of Colorado Boulder, specializing in data science and computer science. His primary research interests include temporal databases, the semantic web, knowledge representation, and data science, with a focus on extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU Boulder, he taught various courses such as algorithms and data structures, programming languages, and database management. Dr. Wu aims to develop an inclusive and engaging pedagogy in data science education over the next five years, emphasizing experiential learning in both in-person and online formats. He is involved in teaching courses related to data science and programming, including specializations in Python programming for data scientists.
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