We may earn an affiliate commission when you visit our partners.
Charles Severance
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook "Python for Everybody". This course covers Python 3.
Read more
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook "Python for Everybody". This course covers Python 3.
Read more
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook "Python for Everybody". This course covers Python 3.
What you'll learn
- How to open a file and read data from a file
- How to create a list in Python
- How to create a dictionary
- Sorting data
- How to use the tuple structure in Python
Register for this course and see more details by visiting:
OpenCourser.com/course/bg31w7/python
What's inside
Learning objectives
- How to open a file and read data from a file
- How to create a list in python
- How to create a dictionary
- Sorting data
- How to use the tuple structure in python
- How to open a file and read data from a file
- How to create a list in python
- How to create a dictionary
- Sorting data
- How to use the tuple structure in python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data analysis in Python, a standard in industry
Builds a strong foundation for beginners in data analysis with Python
Taught by Charles Severance, an experienced instructor in Python programming
Covers essential data structures like lists, dictionaries, and tuples in Python
Provides hands-on practice through exercises and assignments
May require some prior programming experience or familiarity with Python basics
Save this course
Save Python Data Structures to your list so you can find it easily later:
Save
Save
Reviews summary
Well-structured python course
According to students, Python Data Structures is a well-structured and engaging course that provides a solid foundation in Python. The instructor is knowledgeable and presents the material in a clear and concise manner. Students appreciate the practical exercises and assignments, which help them to apply their learning and gain confidence in their programming skills.
Practical assignments and exercises help apply learning.
"I think it was awesome course & I learned many things. Specially I have solved many problems during assignment & it developed my confidence."
"This course is also excellent as getting started with Python course."
"the practical exercises were invaluable for hands-on learning."
Appropriate difficulty level for beginners.
"In this data structure course, I learnt about data structures and also had good understanding about it as well as had a good grip on it by practicing on its assignments. This is very good for beginners."
"The difficulty level is just enough for a python starter like me."
"I did not know anything about coding until a few weeks ago and finished the first two courses with relative ease."
Knowledgeable and clear instructor.
"I love the way that the instructor is teaching."
"Very good teacher and easy to understand if you took the previous course."
"Excellent Python Data Structures Course!"
Well-structured course with clear explanations.
"It is an amazing course, very well structured."
"the course was well explain and clear."
"the presentations topics are very coherent."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Python Data Structures with these
activities:
Organize Course Materials
Show steps
Improve retention and organization by compiling and reviewing course materials.
Browse courses on
Note-Taking
Show steps
-
Gather lecture notes, assignments, and other relevant materials.
-
Create a dedicated space for organized note-taking.
Review 'Python for Everybody'
Show steps
Reinforce course concepts by reviewing the assigned textbook.
View
Python for Everybody: Exploring Data in Python 3
on Amazon
Show steps
-
Read the assigned chapters thoroughly.
-
Take notes and highlight key concepts.
Follow Online Python Tutorials
Show steps
Enhance understanding by exploring additional Python tutorials and resources.
Show steps
-
Search for online tutorials or courses covering specific Python topics.
-
Follow along with the tutorials, taking notes and completing exercises.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Python Coding Drills
Show steps
Reinforce Python concepts and syntax through repetitive practice.
Browse courses on
Programming Fundamentals
Show steps
-
Solve coding problems on platforms like LeetCode and HackerRank.
-
Create personal coding challenges and practice regularly.
Participate in Python Study Group
Show steps
Enhance understanding by collaborating with peers and discussing Python concepts.
Browse courses on
Collaborative Learning
Show steps
-
Join or form a study group with fellow Python learners.
-
Meet regularly to discuss course material, work on projects, and share knowledge.
Create a Python Snippet Library
Show steps
Solidify understanding by organizing and documenting reusable Python code snippets.
Browse courses on
Code Organization
Show steps
-
Collect and organize useful Python code snippets.
-
Document the snippets with clear explanations and examples.
Develop a Custom Python Script
Show steps
Apply the learned concepts by building a practical Python script to solve a specific problem.
Browse courses on
Python Scripting
Show steps
-
Identify a real-world problem that can be automated.
-
Design and implement a Python script to address the problem.
-
Test and debug the script to ensure functionality.
Organize Course Materials
Show steps
Improve retention and organization by compiling and reviewing course materials.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Gather lecture notes, assignments, and other relevant materials.
- Create a dedicated space for organized note-taking.
Review 'Python for Everybody'
Show steps
Reinforce course concepts by reviewing the assigned textbook.
View
Python for Everybody: Exploring Data in Python 3
on Amazon
Show steps
Show steps
Show steps
- Read the assigned chapters thoroughly.
- Take notes and highlight key concepts.
Follow Online Python Tutorials
Show steps
Enhance understanding by exploring additional Python tutorials and resources.
Show steps
Show steps
Show steps
- Search for online tutorials or courses covering specific Python topics.
- Follow along with the tutorials, taking notes and completing exercises.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Python Coding Drills
Show steps
Reinforce Python concepts and syntax through repetitive practice.
Browse courses on
Programming Fundamentals
Show steps
Show steps
Show steps
- Solve coding problems on platforms like LeetCode and HackerRank.
- Create personal coding challenges and practice regularly.
Participate in Python Study Group
Show steps
Enhance understanding by collaborating with peers and discussing Python concepts.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Join or form a study group with fellow Python learners.
- Meet regularly to discuss course material, work on projects, and share knowledge.
Create a Python Snippet Library
Show steps
Solidify understanding by organizing and documenting reusable Python code snippets.
Browse courses on
Code Organization
Show steps
Show steps
Show steps
- Collect and organize useful Python code snippets.
- Document the snippets with clear explanations and examples.
Develop a Custom Python Script
Show steps
Apply the learned concepts by building a practical Python script to solve a specific problem.
Browse courses on
Python Scripting
Show steps
Show steps
Show steps
- Identify a real-world problem that can be automated.
- Design and implement a Python script to address the problem.
- Test and debug the script to ensure functionality.
Career center
Learners who complete Python Data Structures will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will work on developing algorithms to learn from data. The data structures learned in this course will help you build more complex machine learning applications.
Data Scientist
Data Scientist
In this technical role, you will focus on applying scientific methods and techniques to extract knowledge from data. This course will help you develop the foundational data structure skills needed in the field.
Data Engineer
Data Engineer
As a Data Engineer, you will be responsible for managing and processing large datasets. The data structures learned in this course will help you to effectively organize and retrieve data for analysis.
Actuary
Actuary
As an Actuary, you will analyze risk and uncertainty for insurance companies. The data structures learned in this course will help you understand how to organize and analyze financial data, which is important for this role.
Software Engineer
Software Engineer
You will play a critical role in designing, developing, and testing software systems as a Software Engineer. The data structures learned in this course will help you build better applications.
Computer Scientist
Computer Scientist
In this theoretical role, you will focus on developing new computing technologies. The data structures learned in this course will help you understand the foundational concepts of computer science.
Database Administrator
Database Administrator
In this role, you will be responsible for the day-to-day maintenance and management of databases. The data structures learned in this course will help you organize and store data efficiently.
Quantitative Analyst
Quantitative Analyst
You will use mathematical models to analyze financial data as a Quantitative Analyst. The data structures you learn in this course will help you develop the programming skills needed in this role.
Biostatistician
Biostatistician
In this role, you will apply statistical methods to medical data. The data structures learned in this course will help you to organize and analyze this data.
Data Analyst
Data Analyst
As a Data Analyst, you will combine your interest in data and computers to collect, clean, and interpret data. This course will help build a foundation in using the core data structures of Python, which will help you perform increasingly complex data analysis during your role.
Statistician
Statistician
As a Statistician, your role will center around collecting, analyzing, and interpreting data. The data structures learned in this course will help you better understand how data is presented and stored.
Market Researcher
Market Researcher
In this role, you will be responsible for conducting research to understand market trends. The data structures learned in this course will help you organize and analyze consumer data, which is critical for this role.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for bridging the gap between the business and technical teams. The data structures you learn in this course will help you understand how data is stored and organized within a system.
Information Security Analyst
Information Security Analyst
As an Information Security Analyst, you will be responsible for safeguarding data and systems. The data structures learned in this course will provide you with the skills you need to understand how to track and monitor security events.
Financial Analyst
Financial Analyst
In this role, you will be responsible for researching and analyzing financial data. The data structures learned in this course will help you organize and analyze this data.
For more career information including salaries, visit:
OpenCourser.com/course/bg31w7/python
Reading list
We've selected 25 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python Data Structures.
This classic textbook provides a comprehensive and rigorous treatment of algorithms and data structures, offering an in-depth understanding of these concepts.
Provides a comprehensive reference for the Python standard library, and could be used as a reference for students who need to look up specific Python modules or functions.
Save
Provides a comprehensive reference for the Python programming language, and could be used as a reference for students who need to look up specific Python syntax or functions.
Great companion to the course as it provides a comprehensive introduction to Python programming, including data structures such as lists, dictionaries, and tuples.
Provides a comprehensive and rigorous treatment of data structures and algorithms in Python, offering a deeper understanding of these concepts.
Provides a comprehensive overview of data structures and algorithms in Python, complementing the course's focus on data structures.
Provides a concise and practical introduction to data structures and algorithms in Python, offering a good balance between theory and application.
Save
Good resource for visual learners as it uses a unique and engaging approach to teaching Python programming concepts, including data structures.
Valuable resource for those interested in data analysis using Python, providing in-depth coverage of data structures and tools such as Pandas and NumPy.
Save
Classic textbook on algorithms, and could be used as a reference for students who want to learn more about the design and analysis of algorithms.
Is another classic textbook on algorithms, and could be used as a reference for students who want to learn more about the design and analysis of algorithms.
Save
Provides a collection of recipes for solving common Python programming problems, and could be used as a reference for students who need help with specific Python programming tasks.
Save
Good choice for those who want to deepen their understanding of Python programming and data structures, providing advanced techniques and best practices.
Uses an engaging and visual approach to explain algorithms and data structures, providing a good foundation for understanding these concepts.
Save
Provides a comprehensive introduction to Python programming and computer science concepts, including data structures such as lists and dictionaries.
Save
Great resource for those who want to learn the fundamentals of computer science and programming, including data structures.
Save
Great choice for those who want to improve their Python programming skills, providing practical tips and best practices for working with data structures.
Save
Provides a collection of best practices for Python programming, and could be used as a reference for students who want to learn how to write more efficient and maintainable Python code.
Provides a challenging and hands-on approach to learning Python programming, including data structures such as lists and dictionaries.
Takes a more theoretical approach to data structures and algorithms, and could be used as a reference for students who want to learn more about the underlying principles behind these concepts.
Practical guide to using Python for automation tasks, including working with data structures such as lists and dictionaries.
Save
Provides a clear and concise introduction to Python programming, and could be used as a reference for students who need to brush up on their Python skills before taking the course.
Save
Provides a gentle introduction to Python programming, and could be used as a reference for students who need to brush up on their Python skills before taking the course.
Save
Provides a comprehensive overview of the Python programming language, and could be used as a reference for students who need to brush up on their Python skills before taking the course.
Provides a practical introduction to Python programming, and could be used as a reference for students who want to learn more about how to use Python for everyday tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bg31w7/python
Share
Similar courses
Here are nine courses similar to
Python Data Structures.
Python Data Structures
OpenCourser.com/course/wts33i/python
Python Data Structures
Most relevant
Python for Beginners: Data Structures
OpenCourser.com/course/57jzmg/python
Python for Beginners: Data Structures
Most relevant
Using Python to Access Web Data
OpenCourser.com/course/ridega/using
Using Python to Access Web Data
Most relevant
Python Collections
OpenCourser.com/course/tvglfj/python
Python Collections
Most relevant
Introduction to R Programming
OpenCourser.com/course/931psx/introduction
Introduction to R Programming
Most relevant
Get Started with Python
OpenCourser.com/course/w1o999/get
Get Started with Python
Most relevant
Dive Deep into Python
OpenCourser.com/course/j0yasv/dive
Dive Deep into Python
Most relevant
Getting Started with Data Analysis Using Python 2
OpenCourser.com/course/b92oj5/getting
Getting Started with Data Analysis Using Python 2
Most relevant
Machine Learning Engineer Nanodegree
OpenCourser.com/course/hrznx4/udacity
Machine Learning Engineer Nanodegree
Most relevant
Effort
2 to 4 hours per week for 7 weeks
Level
Elementary
Via
edX
Institution
The University of Michigan
Instructor
Charles Severance
Language
English
Transcript
English
Good to know
Explores data analysis in Python, a standard in industry
Builds a strong foundation for beginners in data analysis with Python
Taught by Charles Severance, an experienced instructor in Python programming
Covers essential data structures like lists, dictionaries, and tuples in Python
Provides hands-on practice through exercises and assignments
May require some prior programming experience or familiarity with Python basics
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser