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Ahmad Varasteh
This Guided Project "Python for Beginners: Data Structures" is for individuals who are new to programming and want to learn the basics of Python data structures. In this 2-hour long project-based course, you will learn about lists, tuples, sets, and dictionaries and how to use them to solve real-world problems through a student performance analysis short project. This guided-project will cover the learning objectives of understanding the basics of lists, tuples, sets, and dictionaries in Python, learning how to store and manipulate data in these data structures, and becoming familiar with the differences between the various data structures. This project is designed to provide a comprehensive introduction to Python data structures in a beginner-friendly format. In order to be successful in this project, you will need prior knowledge of basic Python concepts and basic mathematical operations. Familiarity with control structures in Python such as for loops and if statements is an important prerequisit to this course.
Register for this course and see more details by visiting:
OpenCourser.com/course/57jzmg/python
What's inside
Syllabus
Project Overview
This Guided Project "Python for Beginners: Data Structures" is for individuals who are new to programming and want to learn the basics of Python data structures. In this 2-hour long project-based course, you will learn about lists, tuples, sets, and dictionaries and how to use them to solve real-world problems through a student performance analysis short project. This guided-project will cover the learning objectives of understanding the basics of lists, tuples, sets, and dictionaries in Python, learning how to store and manipulate data in these data structures, and becoming familiar with the differences between the various data structures. This project is designed to provide a comprehensive introduction to Python data structures in a beginner-friendly format. In order to be successful in this project, you will need prior knowledge of basic Python concepts and basic mathematical operations. Familiarity with control structures in Python such as for loops and if statements is an important prerequisite to this course.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces Python data structures, such as lists, tuples, sets, and dictionaries, which are essential for data storage and manipulation in programming
Provides a practical approach to learning through a student performance analysis project, making it relatable and engaging for students
Assumes prior knowledge of basic Python concepts and mathematical operations, making it suitable for beginners with some programming experience
Involves familiarity with control structures in Python, such as for loops and if statements, which may require additional preparation for some learners
Focuses on the basics of Python data structures, which may not be sufficient for learners seeking more advanced topics
Save this course
Save Python for Beginners: Data Structures to your list so you can find it easily later:
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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 for Beginners: Data Structures with these
activities:
Watch tutorials on Python data structures
Show steps
Watching tutorials will help you learn about different data structures in Python and how to use them.
Browse courses on
Data Structures
Show steps
-
Search for tutorials on Python data structures
-
Choose a tutorial to watch
-
Take notes while watching the tutorial
-
Try out the examples in the tutorial
Read 'Data Structures: Abstraction and Design Using Java'
Show steps
This book provides a comprehensive overview of data structures and algorithms, which will help you understand the concepts covered in this course more deeply.
View
Data Structures and Algorithms in C++
on Amazon
Show steps
-
Read the introduction and first chapter
-
Choose a data structure to focus on
-
Read the corresponding chapter in the book
-
Do the exercises at the end of the chapter
Join a study group for Python data structures
Show steps
Joining a study group will allow you to discuss course material with other students and learn from each other.
Browse courses on
Data Structures
Show steps
-
Find a study group that meets your schedule
-
Prepare for each study session by reviewing the material
-
Participate actively in discussions
-
Help other students with their understanding
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve LeetCode problems on data structures
Show steps
Solving LeetCode problems will help you practice applying data structures and algorithms to solve real-world problems.
Browse courses on
Data Structures
Show steps
-
Choose a LeetCode problem to solve
-
Read the problem statement carefully
-
Design a solution using data structures
-
Implement the solution in Python
-
Test your solution
Create a data structure cheat sheet
Show steps
Creating a cheat sheet will help you summarize and remember the key concepts of data structures.
Browse courses on
Data Structures
Show steps
-
List the different data structures covered in the course
-
For each data structure, write down its definition, properties, and common operations
-
Organize the cheat sheet in a logical way
-
Review the cheat sheet regularly
Volunteer as a tutor for Python data structures
Show steps
Volunteering as a tutor will allow you to share your knowledge with others and reinforce your own understanding of data structures.
Browse courses on
Data Structures
Show steps
-
Find a tutoring opportunity at a local school or organization
-
Prepare for tutoring sessions by reviewing the material
-
Work with students to help them understand data structures
-
Provide feedback and support to students
Write a blog post on a data structure topic
Show steps
Writing a blog post will help you solidify your understanding of a particular data structure and share your knowledge with others.
Browse courses on
Data Structures
Show steps
-
Choose a data structure topic to write about
-
Research the topic thoroughly
-
Write a clear and concise blog post
-
Edit and proofread your blog post
-
Publish your blog post
Contribute to an open-source data structure library
Show steps
Contributing to an open-source library will give you hands-on experience working with data structures and allow you to learn from others.
Browse courses on
Data Structures
Show steps
-
Find an open-source data structure library that you are interested in
-
Read the documentation and contribution guidelines
-
Identify an area where you can contribute
-
Make a pull request with your changes
-
Respond to feedback and iterate on your contribution
Watch tutorials on Python data structures
Show steps
Watching tutorials will help you learn about different data structures in Python and how to use them.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Search for tutorials on Python data structures
- Choose a tutorial to watch
- Take notes while watching the tutorial
- Try out the examples in the tutorial
Read 'Data Structures: Abstraction and Design Using Java'
Show steps
This book provides a comprehensive overview of data structures and algorithms, which will help you understand the concepts covered in this course more deeply.
View
Data Structures and Algorithms in C++
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and first chapter
- Choose a data structure to focus on
- Read the corresponding chapter in the book
- Do the exercises at the end of the chapter
Join a study group for Python data structures
Show steps
Joining a study group will allow you to discuss course material with other students and learn from each other.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Find a study group that meets your schedule
- Prepare for each study session by reviewing the material
- Participate actively in discussions
- Help other students with their understanding
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve LeetCode problems on data structures
Show steps
Solving LeetCode problems will help you practice applying data structures and algorithms to solve real-world problems.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a LeetCode problem to solve
- Read the problem statement carefully
- Design a solution using data structures
- Implement the solution in Python
- Test your solution
Create a data structure cheat sheet
Show steps
Creating a cheat sheet will help you summarize and remember the key concepts of data structures.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- List the different data structures covered in the course
- For each data structure, write down its definition, properties, and common operations
- Organize the cheat sheet in a logical way
- Review the cheat sheet regularly
Volunteer as a tutor for Python data structures
Show steps
Volunteering as a tutor will allow you to share your knowledge with others and reinforce your own understanding of data structures.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Find a tutoring opportunity at a local school or organization
- Prepare for tutoring sessions by reviewing the material
- Work with students to help them understand data structures
- Provide feedback and support to students
Write a blog post on a data structure topic
Show steps
Writing a blog post will help you solidify your understanding of a particular data structure and share your knowledge with others.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a data structure topic to write about
- Research the topic thoroughly
- Write a clear and concise blog post
- Edit and proofread your blog post
- Publish your blog post
Contribute to an open-source data structure library
Show steps
Contributing to an open-source library will give you hands-on experience working with data structures and allow you to learn from others.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Find an open-source data structure library that you are interested in
- Read the documentation and contribution guidelines
- Identify an area where you can contribute
- Make a pull request with your changes
- Respond to feedback and iterate on your contribution
Career center
Learners who complete Python for Beginners: Data Structures will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers apply machine learning algorithms to real-world problems. Proficiency with Python data structures is essential for Machine Learning Engineers, as these structures are used to store and process the large datasets that are typically used in machine learning. Additionally, Machine Learning Engineers need to be able to design and implement algorithms that can learn from data and make predictions. This course may be useful to an aspiring Machine Learning Engineer who wants to build a foundation in Python data structures.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. Proficiency with Python data structures is essential for Quantitative Analysts, as these structures are used to store and process the large datasets that are typically used in financial analysis. Additionally, Quantitative Analysts need to be able to develop and implement models that can predict future financial performance. This course may be useful to an aspiring Quantitative Analyst who wants to build a foundation in Python data structures.
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and programming to extract meaningful insights from data. Proficiency with Python data structures is a must for Data Scientists, as these structures are used to collect, clean, organize, and analyze data. This course may be useful to an aspiring Data Scientist who wants to build a foundation in Python data structures.
Data Analyst
Data Analyst
A Data Analyst examines data with the goal of uncovering trends, patterns, and other useful information. Proficiency with Python data structures is a key aspect of data analysis, as analysts must be able to collect, clean, and organize data before any meaningful insights can be gained. Many jobs also require the ability to visualize data and communicate insights with different stakeholders. This course may be useful to an aspiring Data Analyst who wants to build a foundation in Python data structures.
Data Engineer
Data Engineer
Data Engineers design and build the systems that store and process data. Proficiency with Python data structures is essential for Data Engineers, as these structures are used to design efficient and scalable systems. This course may be useful to an aspiring Data Engineer who wants to build a foundation in Python data structures.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. Proficiency with Python data structures is useful for Statisticians, as these structures can be used to organize and analyze data from a variety of sources. Additionally, Statisticians need to be able to develop and implement models that can describe and predict the behavior of data. This course may be useful to an aspiring Statistician who wants to build a foundation in Python data structures.
Software Developer
Software Developer
Software Developers design, develop, and maintain software systems. Proficiency with Python data structures is important for Software Developers, as these structures are used to organize and manage data within software applications. Additionally, Software Developers need to be able to design efficient algorithms that leverage data structures to perform specific tasks. This course may be useful to an aspiring Software Developer who wants to build a foundation in Python data structures.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visualizations that communicate data insights to stakeholders. Proficiency with Python data structures is useful for Data Visualization Specialists, as these structures can be used to organize and analyze data from a variety of sources. Additionally, Data Visualization Specialists need to be able to develop and implement visualizations that are clear, concise, and engaging. This course may be useful to an aspiring Data Visualization Specialist who wants to build a foundation in Python data structures.
User Experience Researcher
User Experience Researcher
User Experience Researchers study how users interact with products and services. Proficiency with Python data structures is useful for User Experience Researchers, as these structures can be used to collect, analyze, and interpret user data. Additionally, User Experience Researchers need to be able to develop and implement solutions that can improve the user experience. This course may be useful to an aspiring User Experience Researcher who wants to build a foundation in Python data structures.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. Proficiency with Python data structures is useful for Business Analysts, as these structures can be used to organize and analyze data from a variety of sources. Additionally, Business Analysts need to be able to communicate insights to stakeholders in a clear and concise manner. This course may be useful to an aspiring Business Analyst who wants to build a foundation in Python data structures.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve business problems. Proficiency with Python data structures is useful for Operations Research Analysts, as these structures can be used to model and analyze complex systems. Additionally, Operations Research Analysts need to be able to develop and implement solutions that can improve business performance. This course may be useful to an aspiring Operations Research Analyst who wants to build a foundation in Python data structures.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate and make recommendations on investments. Proficiency with Python data structures is useful for Financial Analysts, as these structures can be used to organize and analyze financial data. Additionally, Financial Analysts need to be able to develop models that can predict future financial performance. This course may be useful to an aspiring Financial Analyst who wants to build a foundation in Python data structures.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products and services. Proficiency with Python data structures is useful for Product Managers, as these structures can be used to organize and analyze data from market research, customer feedback, and other sources. Additionally, Product Managers need to be able to develop and implement roadmaps that can guide the development of new products and services. This course may be useful to an aspiring Product Manager who wants to build a foundation in Python data structures.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research to understand consumer behavior. Proficiency with Python data structures is useful for Market Research Analysts, as these structures can be used to organize and analyze data from surveys, interviews, and other sources. Additionally, Market Research Analysts need to be able to develop and implement models that can predict consumer behavior. This course may be useful to an aspiring Market Research Analyst who wants to build a foundation in Python data structures.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. Proficiency with Python data structures is useful for Marketing Managers, as these structures can be used to organize and analyze data from marketing campaigns, customer feedback, and other sources. Additionally, Marketing Managers need to be able to develop and implement models that can predict the effectiveness of marketing campaigns. This course may be useful to an aspiring Marketing Manager who wants to build a foundation in Python data structures.
For more career information including salaries, visit:
OpenCourser.com/course/57jzmg/python
Reading list
We've selected 15 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 for Beginners: Data Structures.
Provides a comprehensive introduction to data structures and algorithms in Python, covering fundamental concepts such as lists, tuples, sets, and dictionaries. It valuable resource for both beginners and experienced programmers looking to deepen their understanding of these topics.
Focuses specifically on Python data structures and algorithms, providing a practical and hands-on approach to learning these concepts. It is suitable for beginners with some programming experience and serves as a valuable supplement to the course.
Takes a unique and engaging approach to teaching data structures, using visual aids and real-world examples to make complex concepts easier to understand. It highly recommended resource for visual learners and those who prefer a more interactive learning experience.
Provides a conceptual and intuitive approach to understanding algorithms, with a focus on problem-solving techniques. It valuable resource for beginners who want to develop a strong foundation in algorithm design and analysis.
Save
Comprehensive introduction to Python programming, covering fundamental concepts such as data types, control flow, and object-oriented programming. It useful resource for beginners who need to build a strong foundation in Python before delving into data structures.
Practical guide to using Python for automation tasks, such as web scraping, data analysis, and system administration. While it does not focus specifically on data structures, it provides valuable insights into Python programming techniques that can be applied to data structure manipulation.
Comprehensive guide to using Python for data analysis and visualization. It covers topics such as data cleaning, data manipulation, and statistical analysis. While it does not focus specifically on data structures, it provides valuable insights into working with data in Python.
Combines theoretical foundations with practical examples to teach data structures and algorithms in Python. It suitable reference for both beginners and experienced programmers looking to deepen their understanding of these concepts.
Save
Provides a comprehensive overview of algorithms and data structures in Python. It valuable resource for experienced programmers looking to expand their knowledge of advanced algorithms and their implementation in Python.
This classic textbook provides a comprehensive and rigorous introduction to algorithms and data structures. While it is not specific to Python, it valuable reference for those who want to delve deeper into the theoretical foundations of these concepts.
Provides a practical and accessible guide to algorithm design and analysis. It valuable resource for experienced programmers looking to develop their skills in designing efficient algorithms.
Save
Collection of practical recipes and solutions for common programming tasks in Python. It can serve as a valuable reference for both beginners and experienced programmers looking for quick and efficient ways to solve specific problems.
Save
Provides a deep dive into the intricacies of the Python language and its idioms. While it does not focus specifically on data structures, it valuable resource for experienced Python programmers looking to enhance their understanding of Pythonic coding practices.
Save
Collection of practical tips and techniques for writing better Python code. It useful resource for experienced Python programmers looking to improve the quality and maintainability of their code.
Beginner-friendly introduction to Python programming, covering fundamental concepts and practical projects. It useful resource for those who need to build a foundation in Python before delving into data structures.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/57jzmg/python
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Introduces Python data structures, such as lists, tuples, sets, and dictionaries, which are essential for data storage and manipulation in programming
Provides a practical approach to learning through a student performance analysis project, making it relatable and engaging for students
Assumes prior knowledge of basic Python concepts and mathematical operations, making it suitable for beginners with some programming experience
Involves familiarity with control structures in Python, such as for loops and if statements, which may require additional preparation for some learners
Focuses on the basics of Python data structures, which may not be sufficient for learners seeking more advanced topics
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