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Nanodegree key: nd256

Version: 1.0.0

Locale: en-us

Get hands-on practice with over 100 data structures and algorithm exercises and guidance from a dedicated mentor to help prepare you for interviews and on-the-job scenarios.

Content

Part 01 : Introduction

Start with a warm welcome to the program by refreshing your Python skills and learning about problem solving and efficiency!

Module 01: Introduction
- Lesson 01: Introduction
  Welcome to the Data Structures and Algorithms nanodegree program!
- Lesson 02: Python Refresher
  A quick refresh on Python basics!
- Lesson 03: How to Solve Problems
  A systematic way of approaching and breaking down problems.
- Lesson 04: Efficiency
  Understanding the importance of efficiency when working with data structures and algorithms.
- Lesson 05: Unscramble Computer Science Problems
  Deconstruct a series of open-ended problems into smaller components (e.g, inputs, outputs, series of functions).
  
  Project Description - Unscramble Computer Science Problems
  
  Project Rubric - Unscramble Computer Science Problems
  - Concept 01: Project Introduction

Part 02 : Data Structures

Learn about the core data structures used in programming.

Module 01: Data Structures

Part 03 : Basic Algorithms

Learn about the basic algorithms used in programming.

Module 01: Basic Algorithms
- Lesson 01: Basic Algorithms
  Start out with some elementary algorithms such as binary search, tries, heaps and more.
- Lesson 02: Sorting Algorithms
  Learn about the most common sorting algorithms.
- Lesson 03: Faster Divide & Conquer Algorithms
  Go deeper into algorithms with faster divide and conquer algorithms.
- Lesson 04: Problems vs. Algorithms
  A series of real-world open ended problems which train you to apply suitable data structures and algorithms under different context.
  
  Project Description - Problems vs. Algorithms
  
  Project Rubric - Problems vs. Algorithms

Part 04 : Advanced Algorithms

Learn about the basic algorithms used in programming.

Module 01: Advanced Algorithms
- Lesson 01: Greedy Algorithms
  Get familiar with and practice greedy algorithms.
- Lesson 02: Graph Algorithms
  Learn about the many aspects of graph algorithms!
- Lesson 03: Dynamic Programming
  Learn about dynamic programming and apply your learnings to challenging exercises.
- Lesson 04: A*
- Lesson 05: Route Planner
  In this project, you will build a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map.
  
  Project Description - Route Planner
  
  Project Rubric - Route Planner

**Part 05 (Elective):** Introduction to Python Programming

Review fundamental Python programming syntax and concepts.

Module 01: Introduction to Python Programming
- Lesson 01: Why Python Programming
  Welcome to Introduction to Python! Here's an overview of the course.
  - Concept 01: Welcome to the Course!
  - Concept 02: Programming in Python
- Lesson 02: Data Types and Operators
  Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
- Lesson 03: Data Structures
  Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.
- Lesson 04: Control Flow
  Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
- Lesson 05: Functions
  Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
- Lesson 06: Scripting
  Setup your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
- Lesson 07: Advanced Topics
  In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.

Part 06 : Career Services

These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!

Module 01: Career Services
- Lesson 01: Industry Research
  You're building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.
- Lesson 02: Take 30 Min to Improve your LinkedIn
  Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
  
  Project Description - Improve Your LinkedIn Profile
  
  Project Rubric - Improve Your LinkedIn Profile
- Lesson 03: Optimize Your GitHub Profile
  Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.
  
  Project Description - Optimize Your GitHub Profile
  
  Project Rubric - Optimize Your GitHub Profile

**Part 07 (Elective):** Technical Interview Practice

Module 01: Technical Interview Practice
- Lesson 01: Technical Interview - Python
  Practice with five technical interviewing questions on topics discussed in the data structures and algorithms course and get a personalized review on both your code and solutions.