Complete Python With DSA Bootcamp + LEETCODE Exercises from Udemy

Welcome to the "Complete Python with DSA Bootcamp". This comprehensive course is designed to take you from a beginner to a confident programmer, mastering both Python and essential data structures and algorithms (DSA) needed for technical interviews and real-world applications.

What You Will Learn

In this bootcamp, you will start with the fundamentals of Python programming. You will become familiar with Python syntax, data types, control structures, and functions. As you progress, you will dive into more advanced topics, including object-oriented programming and error handling, ensuring you have a solid foundation before moving on to data structures.

Next, we will explore various data structures in detail. You will learn about arrays, lists, stacks, queues, linked lists, trees, and graphs. For each data structure, you will understand its use cases, advantages, and limitations. You will also implement these structures from scratch, reinforcing your understanding through practical exercises.

Algorithms are the backbone of problem-solving in programming. This course covers essential algorithms, including sorting (quick sort, merge sort) and searching (binary search), as well as more advanced topics like recursion and dynamic programming. You will learn to analyze the time and space complexity of algorithms, helping you to choose the most efficient solution for any problem.

Hands-On Projects and Coding Challenges

Throughout the course, you will engage in hands-on projects and coding challenges that simulate real-world scenarios. Each section includes practical exercises to reinforce your learning, and you will work on projects that consolidate your understanding of Python and DSA. By the end of the course, you will have a portfolio of projects to showcase your skills to potential employers.

Who This Course Is For

This course is ideal for beginners who want to learn Python and data structures from scratch. It’s also perfect for aspiring software developers and data scientists preparing for technical interviews, as well as professionals looking to transition into tech roles. Whether you’re a student or a working professional, this course will equip you with the skills and knowledge needed to excel in coding interviews and advance your career.

Course Structure

The course is structured into modules that progressively build on your knowledge. Each module contains video lectures, reading materials, and coding exercises, allowing you to learn at your own pace. You will also have access to a community of learners where you can ask questions, share insights, and collaborate on projects.

Why Choose This Course?

Comprehensive Curriculum: Covers Python programming, data structures, and algorithms in depth.
Expert Instructor: Learn from an experienced instructor with over 13 years in data analytics and teaching.
Hands-On Approach: Engage in practical exercises and real-world projects that reinforce your learning.
Flexible Learning: Access course materials anytime, anywhere, and learn at your own pace.

Join the "Complete Python with DSA Bootcamp" today and take your first step towards becoming a proficient programmer. Whether you aim to land a job in tech or simply want to enhance your coding skills, this course is your gateway to success. Enroll now and start your journey.

What's inside

Learning objectives

Develop a solid foundation in python, including syntax, data structures, and libraries, enabling learners to write efficient and clean code.
Gain a comprehensive understanding of fundamental data structures (such as arrays, linked lists, stacks, queues, trees, and graphs) and algorithms

Learn how to apply data structures and algorithms to solve practical problems, enhancing coding skills and preparing learners for technical interviews
Build confidence in solving coding challenges and improve problem-solving skills through hands-on exercises and interview-style questions

Develop a solid foundation in python, including syntax, data structures, and libraries, enabling learners to write efficient and clean code.
Gain a comprehensive understanding of fundamental data structures (such as arrays, linked lists, stacks, queues, trees, and graphs) and algorithms
Learn how to apply data structures and algorithms to solve practical problems, enhancing coding skills and preparing learners for technical interviews
Build confidence in solving coding challenges and improve problem-solving skills through hands-on exercises and interview-style questions

Syllabus

Introduction

IDE's And Code Editors You Can Use

Getting Started With Google Colab

Getting Started With Github Codespace

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers data structures and algorithms, which are essential for technical interviews and problem-solving in software development and data science roles

Starts with the fundamentals of Python programming, including syntax, data types, and control structures, providing a solid foundation for novice programmers

Includes hands-on projects and coding challenges that simulate real-world scenarios, allowing learners to build a portfolio to showcase their skills

Includes LeetCode exercises, which are commonly used in technical interviews, providing learners with targeted practice and preparation

Progressively builds on knowledge, with each module containing video lectures, reading materials, and coding exercises, allowing learners to learn at their own pace

Requires learners to download resources for the data structure and algorithm part of the course, which may require additional setup and configuration

Reviews summary

Comprehensive python and dsa bootcamp

According to learners, this course offers a strong foundation in both Python programming fundamentals and essential data structures and algorithms (DSA). Students particularly praise the hands-on coding exercises and practical approach to problem-solving, finding it highly relevant for technical interview preparation and LEETCODE practice. While some note the challenge, the overall sentiment is that the course provides significant value for those looking to build skills for a tech career, especially beginners transitioning into the field.

Covers a wide range of Python and DSA topics.

"Provides a complete overview of Python basics, DSA, and essential algorithms."

"I found the syllabus covered everything I needed for both Python and DSA concepts."

"From Python fundamentals to advanced DSA, this course has it all."

Suitable for those new to Python and DSA.

"As someone new to coding, this course made complex topics understandable."

"Started from scratch with Python and now feel confident tackling LeetCode problems."

"If you are a beginner and want to learn python + dsa for interviews, this course is perfect."

Includes many coding exercises and practical problems.

"The hands-on coding exercises and projects are the strongest part of the course for me."

"I really appreciated the numerous coding problems that allowed me to practice DSA concepts."

"Doing the exercises reinforced my understanding better than just watching lectures."

Focuses on skills needed for technical interviews.

"This course is a must-have for anyone preparing for technical interviews. The DSA part is crucial."

"The focus on LeetCode style problems and data structures helped immensely with my interview prep."

"Excellent content for cracking interviews and building a solid programming foundation."

Some parts may be difficult or require prior knowledge.

"Some sections move quite fast, and I had to spend extra time reviewing or seeking external resources."

"While good, I felt some topics could use more in-depth coverage, especially for optimization techniques."

"The difficulty ramps up quickly in the DSA section, make sure you dedicate enough time."

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 Complete Python With DSA Bootcamp + LEETCODE Exercises with these activities:

Review Python Basics

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Reinforce your understanding of Python syntax, data types, and control flow to prepare for more advanced topics in the course.

Browse courses on Python Syntax

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Review Python syntax and semantics.
Practice writing basic Python programs.
Complete online Python tutorials.

Review 'Grokking Algorithms'

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Use this book to gain a solid understanding of fundamental algorithms before diving into the course's DSA section.

View Grokking Algorithms, Second Edition on Amazon

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Read the chapters on searching and sorting algorithms.
Implement the algorithms in Python.
Solve practice problems from the book.

LeetCode Easy Problems

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Practice solving easy-level LeetCode problems to reinforce your understanding of data structures and algorithms covered in the course.

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Select a set of easy LeetCode problems.
Solve each problem in Python.
Analyze the time and space complexity of your solutions.

Four other activities

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Peer Programming Session

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Collaborate with peers to solve coding challenges and discuss different approaches to problem-solving.

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Find a study partner or group.
Choose a set of coding problems to work on together.
Discuss and compare your solutions.

Build a Simple To-Do List App

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Apply your Python and data structures knowledge to build a practical application that reinforces your learning.

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Design the user interface and functionality of the app.
Implement the app using Python and appropriate data structures.
Test and debug the app thoroughly.

Create a DSA Cheat Sheet

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Summarize key concepts and algorithms from the course into a concise cheat sheet for future reference.

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Review the data structures and algorithms covered in the course.
Create a cheat sheet with key concepts, formulas, and code snippets.
Organize the cheat sheet for easy reference.

Review 'Cracking the Coding Interview'

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Use this book to prepare for technical interviews by practicing common coding questions and understanding problem-solving strategies.

View Cracking the Coding Interview on Amazon

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Read the chapters on data structures and algorithms.
Solve the practice problems in the book.
Simulate mock interviews with a friend or mentor.

Career center

Learners who complete Complete Python With DSA Bootcamp + LEETCODE Exercises will develop knowledge and skills that may be useful to these careers:

Algorithm Engineer

An algorithm engineer designs and implements efficient algorithms for various applications. The Algorithm engineer role often requires a deep understanding of data structures and algorithms, which this course emphasizes. This course is designed to take learners from beginner to confident programmers, mastering both Python and essential data structures. You will explore many data structures like arrays, lists, stacks, queues, linked lists, trees and graphs. For each of them, you will understand their uses, advantages, and limitations. This course also covers crucial algorithms, including sorting and searching, analysis of time and space complexity. These are all essential for anyone seeking a career as an algorithm engineer.

See salaries and explore the career path for Algorithm Engineer

Software Developer

A software developer designs, develops, and tests software applications. This course helps build a foundation in Python, a key language for developers, and introduces essential data structures and algorithms. Software developers use these skills daily to write efficient and effective code. This course provides a comprehensive understanding of these fundamentals, helping aspiring software developers tackle real-world coding problems and prepare for technical interviews. The practical exercises and projects in the course provide the hands-on experience that is crucial for success in this field.

See salaries and explore the career path for Software Developer

Backend Developer

A backend developer focuses on the server-side of applications, handling databases, application logic, and APIs. This course provides a foundational knowledge of Python, which is a popular language for backend development. Aspiring backend developers can learn to use essential data structures and algorithms covered in the course to design efficient and scalable server applications. This course helps build the fundamental programming skills necessary to develop robust backend systems. The hands-on projects help consolidate this understanding.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

Full stack developers handle both front-end and back-end development for software applications. The Python skills gained in this course may be useful for full stack developers who want to handle backend tasks. This course covers core programming concepts such as Python syntax, data structures, and algorithms. Full stack developers often need to write code for the whole stack, and this course provides a strong foundation for programming. The course's hands-on approach can help solidify understanding of Python.

See salaries and explore the career path for Full-Stack Developer

Technical Interview Coach

A technical interview coach prepares candidates for technical interviews by simulating interview scenarios and providing feedback. This course helps make you a strong candidate, and having completed it, you will be able to communicate the concepts to others. The course emphasizes Python programming and data structures, which are tested in technical interviews. A deep understanding of algorithms and problem-solving techniques covered in the course can be helpful for those aspiring to coach others. The hands-on projects and coding challenges help build confidence in addressing complex questions.

See salaries and explore the career path for Technical Interview Coach

Data Scientist

Data scientists analyze complex data to extract insights and inform decision-making. This course may be useful for aspiring data scientists since it provides a comprehensive foundation in Python, a popular language in the data science field. This course covers a wide range of topics from basic Python syntax to data structures and algorithms. Data scientists use these skills to manipulate, process, and analyze data. The course's focus on practical exercises helps build problem-solving skills which data scientists need to derive meaningful conclusions from data.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine learning engineers develop and implement machine learning models and systems. These engineers need strong coding skills and a solid understanding of algorithms, both of which are developed in this course. While machine learning itself isn't explicitly taught, this course covers fundamental concepts in Python, data structures, and algorithms that serve as a strong foundation. Machine learning engineers need these skills to implement the complex models they develop. The course may be useful for aspiring machine learning engineers.

See salaries and explore the career path for Machine Learning Engineer

Computer Science Educator

Computer science educators teach programming and computer science concepts. This course may be helpful for those looking to teach computer science concepts, as a deep familiarity with Python, data structures, and algorithms is a must. This course covers these topics in great detail, providing an understanding of Python's features and implementation of data structures. These skills are necessary to be a strong computer science teacher. The course's detailed structure helps teachers understand how to convey these subjects to learners.

See salaries and explore the career path for Computer Science Educator

Robotics Software Engineer

Robotics software engineers write code to control robots, integrate sensors, and manage data. This course may be helpful for aspiring robotics engineers, as Python is gaining usage in the robotics field. The course covers data structures, algorithms, and programming logic, which are needed to develop robust and efficient solutions. The course focuses on programming fundamentals, which allows engineers to focus on robotics specific elements. This provides a solid programming foundation with Python.

See salaries and explore the career path for Robotics Software Engineer

Game Developer

Game developers create video games using programming languages and development tools. A game developer might find this course useful since Python is increasingly being used in game development for scripting and prototyping. The course's emphasis on data structures, algorithms, and problem-solving aligns with the challenges of creating interactive game experiences. Game developers need strong programming skills, and this course helps build a foundation in Python. The course's hands-on approach to coding will be beneficial to developers.

See salaries and explore the career path for Game Developer

Data Analyst

Data analysts interpret data and create visualizations to help businesses make decisions. Although this course does not explicitly teach data analysis, a data analyst will find Python skills useful, and this course covers core Python concepts. Skills in Python are important for data manipulation, cleaning, and analysis. This course will help data analysts use Python to work with datasets and automate their processes. The focus on problem solving in the course will also be useful to a data analyst.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative analysts develop and implement mathematical and statistical models for financial markets. While this role requires advanced mathematics and statistics, this course may be helpful because it provides a foundation in Python, which this role uses to implement models and analyze data. The course teaches data structures and algorithms, which are necessary when writing efficient code. Quantitative analyst roles often require a master's or doctorate degree. The course's focus on solving coding problems helps build the skills needed for this role.

See salaries and explore the career path for Quantitative Analyst

Embedded Systems Engineer

Embedded systems engineers work with hardware systems and software to develop embedded solutions. This course helps build a foundation in essential programming concepts and data structures that may be useful for embedded systems engineers. While Python is not typically used for real-time tasks, it can be used for testing, analysis, and automation in embedded environments. This course will be helpful to those who want to gain exposure to Python and programming fundamentals. The course will be beneficial to engineers seeking a more general programming skillset.

See salaries and explore the career path for Embedded Systems Engineer

DevOps Engineer

DevOps engineers work at the intersection of development and operations, ensuring smooth application deployment and infrastructure management. This course may be helpful to a DevOps engineer, as Python is frequently used for automation and scripting in DevOps processes. The course focuses on fundamental programming concepts, data structures, and algorithms. The course's practical exercises can help aspiring DevOps engineers automate their tasks and manage infrastructure. The course helps build a strong programming foundation using Python.

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Research Scientist

Research scientists may find the skills taught in this course useful because many research scientific fields use programming for data gathering and analysis. Although this course does not focus on particular research skills, it teaches Python, a popular language used in many fields. This course may help those in research who want to expand their skillsets. The course may help researchers automate parts of their data analysis using Python.

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Complete Python With DSA Bootcamp + LEETCODE Exercises

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What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive python and dsa bootcamp

Activities

Career center

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