Free Python Data Structures Course

Python Data Structures

star 4.5  Beginner level 1.5 learning hrs 37.4K+ Learners

Enroll in this free Python Data Structures and transform your coding skills! Learn how to efficiently store and manage data using lists, dictionaries, and more. Get hands-on experience and take control of your data with Python.

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About this course

In this free Data Structures in Python Course, you will learn about the four inbuilt data structures. You will start this course by learning the basic concepts of Python such as its features and uses. Then, you will be briefed about the different types of data structures in Python starting from Lists which is a collection of values with the same or different type. Then we will jump to the Tuple data structure in Python which is immutable. Then comes Set, which is a collection of unique elements, and a dictionary(having key and value pair). Before summing up the Python Data Structures Course, you will also go through the various differences between each data structure in Python & when to use which data structure. The differences will be between List vs Tuple, List vs Set, List vs Dictionary.
 

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Data structures in Python are the collections of related data values, or objects, which are organized in a particular way. Python provides various types of data structures, such as lists, dictionaries, tuples, sets, and more. 

 

Each of these data structures has a specific purpose and allows for efficient manipulation of data. Lists are one of the most commonly used data structures in Python. They are used to store an ordered sequence of elements, and can be manipulated using a variety of methods and functions. Dictionaries are another popular data structure in Python. They store key-value pairs, and are useful for storing a large amount of data. 

 

Tuples are similar to lists, but are immutable, meaning that their values cannot be changed. Sets are collections of unique elements, and are often used for finding common elements between two sets of data. Python also provides powerful data structures such as queues and stacks, which are used for managing data in a specific order. By understanding the different types of data structures in Python, developers can create more efficient and powerful applications.

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Course outline

Introduction to Python

This module starts by briefly introducing Python programming, and you will go through its installation process and some essential hands-on examples.
 

 

List

Tuple

Set

Dictionary

Dictionary is an unordered collection that contains key-value pairs in it. You will learn to use the dictionary to store and define values to the key you declared in this module. The tutor will explain how to access the values using the keys from the dictionary. 
 

Differences between Data Structures in Python

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Python Data Structures

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1.5 Hours

Beginner

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37.4K+ learners enrolled so far

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Data Structures and Algorithms with Python
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Learner reviews of the Free Courses

4.5
68%
22%
6%
1%
3%
Reviewer Profile

5.0

“Easy to Follow and Understand with Great Examples!”
The course delved into the key concepts in a structured manner, making it easy to follow and relate the concepts to each other as well. Thanks, Great Learning, for the amazing work.
Reviewer Profile

4.0

Country Flag India
“Understanding Core Python Data Structures: Lists, Sets, Tuples, and Dictionaries”
I appreciate that this quiz covers fundamental Python concepts in a straightforward way, making it easy to understand key data structures. The questions are well-phrased, highlighting important properties like mutability, indexing, and type flexibility in lists, sets, tuples, and dictionaries. It’s a helpful refresher for anyone looking to build a solid foundation in Python programming.
Reviewer Profile

5.0

Country Flag India
“The Course is Well-Structured, with Clear Explanations and Practical Examples”
The instructor is knowledgeable and engaging, and the course offers a good balance of theory and real-world application. The interactive quizzes and assignments helped reinforce key concepts.
Reviewer Profile

5.0

Country Flag India
“Python for Data Structures Very Easy to Learn”
Python is lauded for its simplicity, making it ideal for learning data structures. Lists, tuples, sets, and dictionaries are the core built-in data structures. Lists are mutable and ordered; tuples are immutable and ordered; sets are unordered collections of unique elements; dictionaries store key-value pairs. Beyond basics, libraries like `collections` offer specialized structures like `deque` and `Counter`. Python's readability and extensive documentation make mastering these structures straightforward and practical for various applications.
Reviewer Profile

5.0

Country Flag India
“Lists, Tuples, Sets, Dictionaries in Python”
Python offers four built-in data structures: **Lists**, **Tuples**, **Sets**, and **Dictionaries**. - **Lists** are ordered, mutable collections that can store items of different types. - **Tuples** are similar to lists but are immutable. - **Sets** are unordered collections of unique elements, useful for eliminating duplicates. - **Dictionaries** store key-value pairs and allow fast lookups. These data structures provide flexibility and efficiency for different tasks in Python programming.
Reviewer Profile

5.0

Country Flag United Arab Emirates
“Python Data Structure - Python Basics”
Great course with clear explanations and practical examples. Adding more hands-on projects, performance insights, and a community forum for support would enhance learning and help apply concepts in real scenarios.
Reviewer Profile

5.0

Country Flag India
“Great Learning Offers a Structured, Hands-On Learning Experience with Expert Instructors”
What I find appealing about platforms like Great Learning is their focus on practical, hands-on learning. The combination of expert instructors, real-world projects, and mentorship provides valuable insights and guidance. The flexibility to learn at your own pace and the opportunity to collaborate with peers make the experience even more enriching. This approach ensures that learners not only grasp theoretical concepts but can apply them effectively in real-life situations.
Reviewer Profile

5.0

Country Flag India
“Understanding Python Data Structures”
In this discussion, we explore various built-in data structures in Python, including lists, tuples, and sets. We examine their characteristics, such as mutability, indexing, and the types of values they can hold. Understanding these structures is essential for effective programming in Python, as they provide efficient ways to store and manipulate data.
Reviewer Profile

5.0

Country Flag India
“Introduction to Data Structures in Python”
Lists in Python are a fundamental and versatile data structure used to store an ordered collection of items. They are mutable, meaning the elements can be modified after the list is created. This makes lists highly flexible for various applications, such as managing sequences, organizing data, or grouping related elements. Lists can contain items of mixed data types, which adds to their versatility. For example, a list can include integers, strings, floats, and even other lists, allowing complex data structures to be created.
Reviewer Profile

5.0

Country Flag Philippines
“My Learning Experience with Python Data Structures Has Been an Engaging Journey”
The ability to represent data in so many different ways (lists, tuples, sets, dictionaries) is incredibly powerful. It allows me to tackle a wide range of problems and adapt to different data formats.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Can Python be used for data structures?

Yes, Python can be castoff for data structures as Python has primitive (or basic) data structures such as floats, integers, strings, and Booleans. Python similarly has non-primitive data structures such as lists, tuples, dictionaries, and sets. Non-primitive data structures hoard a collection of values in various formats rather than a single value.

Is python good for data structures?

Python is well-thought-out to is a good language to initiate with if you are a learner or beginner. Moreover, in terms of speed, there is no improved language than Python. In the facets of speed, accessibility, and syntax, python is a good language for Data Structures.

Is Python data structure easy to learn?

Python is an easy programming language to acquire and learn nevertheless if you take help from a well-structured Python Data Structures course. You should focus on the basics before diving into the python data structures details.

What are the 4 built-in data structures in Python?

The 4 built-in data structures in Python are list, set, tuples, and dictionary.

Where can I learn data structures in Python?

You can take up a free Python data structures course at Great Learning Academy. Start with the basics of data structures in python, learn about the differences in each one of them before deep diving into detailed python data structures and algorithms.

Will I get a certificate after completing this Python Data Structures free course?

Yes, you will get a certificate of completion for Python Data Structures after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Python Data Structures course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Python Data Structures can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Python Data Structures course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Python Data Structures course?

Great Learning Academy provides this Python Data Structures course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Python Data Structures course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Python Data Structures course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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