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Python Data Structures

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

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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

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

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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

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Improve retention and organization by compiling and reviewing course materials.

Browse courses on Note-Taking

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Gather lecture notes, assignments, and other relevant materials.
Create a dedicated space for organized note-taking.

Review 'Python for Everybody'

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Reinforce course concepts by reviewing the assigned textbook.

View Python for Everybody: Exploring Data in Python 3 on Amazon

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Read the assigned chapters thoroughly.
Take notes and highlight key concepts.

Follow Online Python Tutorials

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Enhance understanding by exploring additional Python tutorials and resources.

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Search for online tutorials or courses covering specific Python topics.
Follow along with the tutorials, taking notes and completing exercises.

Four other activities

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Practice Python Coding Drills

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Reinforce Python concepts and syntax through repetitive practice.

Browse courses on Programming Fundamentals

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Solve coding problems on platforms like LeetCode and HackerRank.
Create personal coding challenges and practice regularly.

Participate in Python Study Group

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Enhance understanding by collaborating with peers and discussing Python concepts.

Browse courses on Collaborative Learning

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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

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Solidify understanding by organizing and documenting reusable Python code snippets.

Browse courses on Code Organization

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Collect and organize useful Python code snippets.
Document the snippets with clear explanations and examples.

Develop a Custom Python Script

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Apply the learned concepts by building a practical Python script to solve a specific problem.

Browse courses on Python Scripting

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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

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Computer Scientist

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Biostatistician

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.

See salaries and explore the career path for Data Analyst

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.

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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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Business 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.

See salaries and explore the career path for Information Security 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.

See salaries and explore the career path for Financial Analyst

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.

Introduction to Algorithms, fourth edition

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This classic textbook provides a comprehensive and rigorous treatment of algorithms and data structures, offering an in-depth understanding of these concepts.

Python Data Structures

What you'll learn

Three deals to help you save

What's inside

Learning objectives

Good to know

Save this course

Reviews summary

Well-structured python course

Activities

Career center

Reading list

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