Introduction to Algorithms & Data Structures, 2: A solid foundation for the real world of machine learning and data analytics

This book is the second volume in a series titled Introduction to Algorithms and Data Structures. Designing an efficient problem-solving algorithm requires the inclusion of appropriate data structures. In the field of computer science, data structures are used to organize and store data in a way that is easier to understand and use. They are used to organize and represent data in a way that is easier for computers to retrieve and analyze. These are the fundamental building blocks that any programmer should know about how to properly use them to build your own programs.

Benefits of learning about algorithms and data structures

First, they will help you become a better programmer. Another benefit is that they will make you think more logically. Additionally, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and troubleshooting.

As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web application or writing software for other devices. You can use them for machine learning and data analytics, which are currently two exciting areas. If you are a hacker, algorithms and data structures in Python are also important for you anywhere.

Now, whatever your preferred learning style is, I'll have you covered. If you are a visual learner, you will love my clear diagrams and illustrations throughout this book. If you are a hands-on learner, you will love my practice lessons so you can get practice with algorithms and data structures in a hands-on way.

Course structure

There are five volumes in this course. This is the second volume. In the first volume, I took a deep dive into the world of algorithms. I covered what algorithms are, how they work, and where they can be found (in real-life applications).

In this volume, we will work through an introduction to data structures. You'll learn about two introductory structures – arrays and linked lists. You will see them in common operations and how these operations affect our everyday code.

The third volume includes 5-hour HD tutorial videos, practice exercises, code examples, and the most frequently asked questions in interviews with Google, Microsoft, Amazon, and other big companies. This way, you will master the linear data structures and algorithms essential to landing the job of your dreams, so you don't waste time browsing disjointed tutorials or super long and boring courses.

At the end of many sections of this course, short practical exercises are included to check your understanding of the topic covered. Answers are also included so you can check your performance in each section. At the end of the course, you will find a link to download more useful resources, such as codes and screenshots used in this book, and more practice exercises. You can also use them for quick reference and review. You will also find my support link so you can contact me at any time if you have questions or need more help.

By the end of this course, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve real-life problems. So everything you need is here, in this book. I really hope you enjoy it. Are you ready? Let's dive in!