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Navigating Data Structures

Andy Brown, Andrew Paster, Anthony Navarro, Tarin Ziyaee, Elecia White, Cezanne Camacho, and Sebastian Thrun

Algorithmic thinking is a skill you’ll refine throughout your career. In this course you’ll focus on frequently used data structures and algorithms.

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Syllabus

A systematic way of approaching and breaking down problems.

The list isn't the only structure for storing data! In this lesson you'll learn about sets, dictionaries and other Python data structures.

When programming a car to drive itself you run into problems. Many of these are "search" problems. In this lesson you'll learn what search problems are and several algorithms for solving them.

In this lesson you will actually implement a Google-maps style routing algorithm using A star search.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines concepts and techniques for data structure choices and designing solutions to algorithmic problems using Python

Taught by instructors who have been recognized for their computer science work

Recommended for intermediate learners who have familiarity with programming concepts

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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 Navigating Data Structures with these activities:

Review Python data structures and algorithms

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Refreshes foundational Python data structures and algorithms concepts to ensure success in this course.

Browse courses on Data Structures

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Review Python data structures such as lists, dictionaries, and sets
Review basic algorithms such as sorting and searching
Practice implementing these concepts in Python code

Participate in online forums or discussion groups

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Facilitates peer learning and exposure to diverse perspectives on course topics.

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Join online forums or discussion groups related to the course
Read and respond to discussions
Ask questions and seek clarification from others
Share your own insights and experiences

Follow online tutorials on search algorithms

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Provides additional practice and reinforcement of search algorithm concepts covered in the course.

Browse courses on Search Algorithms

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Find online tutorials on search algorithms such as breadth-first search, depth-first search, and A* search
Follow the tutorials and implement the algorithms in Python code
Test and debug your code to ensure it works correctly

Three other activities

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Solve coding problems on LeetCode or HackerRank

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Provides hands-on practice in applying algorithmic thinking to solve real-world problems.

Browse courses on Algorithms

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Sign up for LeetCode or HackerRank
Select coding problems that are relevant to the course topics
Solve the problems using Python code
Review your solutions and identify areas for improvement

Lead a study group or tutor other students

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Strengthens understanding of the course material through teaching and reinforcing concepts to others.

Browse courses on Algorithmic Thinking

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Organize a study group with classmates
Prepare materials to review course concepts
Lead discussions and answer questions from other students
Provide feedback and support to help others succeed

Develop a Python program to solve a real-world problem

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Demonstrates the ability to apply algorithmic thinking to practical problems and improve problem-solving skills.

Browse courses on Algorithmic Thinking

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Identify a real-world problem that can be solved using algorithmic techniques
Design and implement a Python program that solves the problem
Test and debug your program to ensure it works correctly
Document your program and explain the algorithms used

Career center

Learners who complete Navigating Data Structures will develop knowledge and skills that may be useful to these careers:

Data Structures Engineer

Data Structures Engineers excel at using programming knowledge to solve complex problems and to optimize the efficiency of data retrieval within various systems. The Navigating Data Structures course helps students master algorithms and fundamental data structures, which are all necessary skills for succeeding in this role. By understanding how to manage data efficiently, Data Structures Engineers can build high-impact products.

See salaries and explore the career path for Data Structures Engineer

Software Engineer

Software Engineers with expertise in data structures manipulate data and solve advanced problems in real-world scenarios. Navigating Data Structures delves into algorithms and data structures, providing a strong foundation to support success in this field. With the knowledge gained from this course, Software Engineers are better able to build and maintain scalable, efficient software systems.

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Data Analyst

Data Analysts are responsible for collecting and interpreting large amounts of data to drive decision-making. This course, Navigating Data Structures, allows them to develop the algorithmic thinking and data structure skills essential for organizing and analyzing data effectively. Through hands-on exercises, they learn to solve complex problems and make valuable contributions to data analysis initiatives.

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Data Engineer

Navigating Data Structures provides Data Engineers with a comprehensive understanding of data organization and retrieval algorithms. The course covers advanced data structures and their implementation techniques, empowering them to build reliable, high-performance data pipelines and databases. By mastering these concepts, Data Engineers can effectively manage and process large volumes of data, enabling data-driven decision-making.

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Cloud Engineer

Cloud Engineers leverage their understanding of data structures and algorithms to design, implement, and maintain cloud-based solutions. In Navigating Data Structures, they gain expertise in working with large datasets and developing efficient storage and retrieval systems. This course enhances their ability to build scalable, reliable, and cost-effective cloud architectures.

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DevOps Engineer

DevOps Engineers benefit from Navigating Data Structures by gaining proficiency in handling complex data structures. This course strengthens their ability to automate build and deployment pipelines, enabling efficient software delivery. By mastering data structures, they optimize resource allocation and streamline collaboration between development and operations teams.

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Data Scientist

Data Scientists leverage data structures to manage and analyze complex datasets. Navigating Data Structures equips them with a deep understanding of various data structures and their applications in real-world data science scenarios. Through hands-on exercises, they gain proficiency in selecting and implementing appropriate data structures, enabling them to extract valuable insights and drive data-informed decision-making.

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Machine Learning Engineer

Machine Learning Engineers utilize data structures to store, process, and analyze vast amounts of data for machine learning models. Navigating Data Structures offers a solid foundation in data organization techniques and algorithms. The course's focus on practical examples and hands-on exercises equips Machine Learning Engineers with the skills to implement effective data structures for large-scale data processing and model development.

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Algorithm Developer

Navigating Data Structures serves as a valuable resource for Algorithm Developers, who design and implement efficient algorithms. This course provides a thorough grounding in fundamental data structures that support algorithm design. By understanding the behavior and time complexity of different structures, Algorithm Developers can develop optimal solutions to real-world problems, enhancing software performance and efficiency.

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Database Administrator

Database Administrators are responsible for managing and optimizing databases. Navigating Data Structures provides a solid foundation in data structures and algorithms, equipping them with the skills to design and implement efficient database systems. By understanding the underlying structures of databases, they can optimize data storage and retrieval, improve query performance, and ensure data integrity.

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Software Architect

Navigating Data Structures empowers Software Architects with the knowledge to design and develop software systems with efficient data management. This course covers advanced data structures and algorithms, providing a deep understanding of how data is organized and accessed. By leveraging these principles, Software Architects can create scalable, reliable, and maintainable software applications.

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Artificial Intelligence Engineer

Navigating Data Structures offers a valuable foundation for Artificial Intelligence Engineers who leverage data structures to develop intelligent systems. This course provides insights into the internal workings of data structures and their applications in AI algorithms. By mastering these concepts, Artificial Intelligence Engineers can optimize data processing, enhance model performance, and build robust AI systems.

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Blockchain Developer

Navigating Data Structures is a valuable resource for Blockchain Developers who need to manage complex data within distributed ledger systems. This course provides a comprehensive understanding of data structures and algorithms, empowering them to optimize blockchain performance and security. By mastering data structures, Blockchain Developers can create efficient and secure blockchain applications that meet the demands of the digital economy.

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Web Developer

Web Developers can enhance their skills by taking Navigating Data Structures to gain insights into organizing and managing data within web applications. This course covers fundamental data structures and algorithms, providing a foundation for optimizing website performance and user experience. By understanding data structures, Web Developers can create efficient and scalable web applications that meet the demands of modern web development.

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Quantitative Analyst

Navigating Data Structures provides Quantitative Analysts with a strong foundation in data structures and algorithms, essential for handling complex financial data. This course covers advanced data structures and their applications in quantitative finance, enabling analysts to efficiently process and analyze large datasets. By understanding data structures, they can develop robust financial models, optimize trading strategies, and make data-driven decisions.

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Reading list

We've selected 13 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 Navigating Data Structures.

Introduction to Algorithms, fourth edition

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This classic textbook provides a rigorous foundation in algorithm design and analysis. It covers a wide range of topics, complementing the course's focus on specific data structures and algorithms.

Navigating Data Structures

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What's inside

Syllabus

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Activities

Career center

Reading list

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