Python for Data Structures, Algorithms, and Interviews!
Python for Data Structures, Algorithms, and Interviews!, available at $149.99, has an average rating of 4.5, with 229 lectures, 1 quizzes, based on 11556 reviews, and has 84465 subscribers.
You will learn about Create a great resume Have a LinkedIn and Github profile for recruiters Understand all major Data Structures and Algorithms Ace coding interviews after preparing with the course's mock interviews This course is ideal for individuals who are Students familiar with Python programming looking to start a career in tech! It is particularly useful for Students familiar with Python programming looking to start a career in tech!.
Enroll now: Python for Data Structures, Algorithms, and Interviews!
Summary
Title: Python for Data Structures, Algorithms, and Interviews!
Price: $149.99
Average Rating: 4.5
Number of Lectures: 229
Number of Quizzes: 1
Number of Published Lectures: 228
Number of Published Quizzes: 1
Number of Curriculum Items: 230
Number of Published Curriculum Objects: 229
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will Learn
- Create a great resume
- Have a LinkedIn and Github profile for recruiters
- Understand all major Data Structures and Algorithms
- Ace coding interviews after preparing with the course's mock interviews
Who Should Attend
- Students familiar with Python programming looking to start a career in tech!
Target Audiences
- Students familiar with Python programming looking to start a career in tech!
PLEASE NOTE: IF YOU ARE A COMPLETE BEGINNER TO PYTHON, CHECK OUT MY OTHER COURSE: COMPLETE PYTHON BOOTCAMPTO LEARN PYTHON!
Welcome to Python for Data Structures, Algorithms and Interviews!
This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms! This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams!
This course will teach you everything you need to know to get a great job in the software technology field, including:
- Creating a great resume
- Creating LinkedIn and GitHub profiles for recruiters to find
- Building and leveraging a network for job opportunities
- The latest job searching tools available online
- Non-Technical Interview Questions and Answers
- Post-Interview topics (Salary Negotiation and References Preparation)
- Jupyter Notebooks Overview
- Algorithm Analysis and Big-O Notation
- Array Sequences
- Stacks Queues and Deques
- Linked Lists
- Recursion
- Trees
- Searching and Sorting Algorithms
- Graph Algorithms
- Riddles and Brainteasers
- 4 Mock Interviews!
Achieve your career goals and get a fantastic job in technology by enrolling in this course!
Course Curriculum
Chapter 1: Course Setup
Lecture 1: Course Introduction
Lecture 2: Full Course Curriculum Overview
Lecture 3: How to get help for the Course!
Lecture 4: Course FAQ
Chapter 2: Company and Job Types
Lecture 1: Company Types Overview
Lecture 2: Job Type Overviews
Chapter 3: Resume Preparation
Lecture 1: Resume Preparation
Lecture 2: Resume Creation Tools
Lecture 3: List of Resume Creation Websites
Lecture 4: Resume Checklist Review
Chapter 4: Online Presence
Lecture 1: LinkedIn
Lecture 2: GitHub
Lecture 3: Personal Website and Portfolio
Chapter 5: Networking
Lecture 1: Building a Network
Lecture 2: Networking Events
Chapter 6: Job Searching
Lecture 1: Organization of Job Search
Lecture 2: Job Search Sites
Lecture 3: List of Job Boards and Sites
Lecture 4: Company Matching Sites
Lecture 5: List of Company Matching Sites
Chapter 7: During the Interview (Non-Technical)
Lecture 1: Overview of Interview Section
Lecture 2: 5 Steps of an Interview
Lecture 3: Tough Interview Questions
Lecture 4: Questions for Students
Lecture 5: Special Case Interview Questions
Chapter 8: Post Interview
Lecture 1: Salary Negotiations
Lecture 2: Salary Questions and Answers
Lecture 3: Preparing References
Chapter 9: Technical Break Section
Lecture 1: Technical Overview
Lecture 2: Getting Help for the Technical Section
Lecture 3: Questions Disclosure
Chapter 10: Introduction to Jupyter Notebooks
Lecture 1: Course Material Installation Guide
Lecture 2: Windows – Course Material Installations
Lecture 3: Mac OSX – Course Material Installations
Lecture 4: Jupyter Notebooks Overview
Lecture 5: Course Notebooks
Lecture 6: Interview Notebooks
Chapter 11: Algorithm Analysis and Big O
Lecture 1: Algorithm Analysis and Big O Section Overview
Lecture 2: Introduction to Algorithm Analysis and Big O
Lecture 3: Big O Notation
Lecture 4: Big O Examples
Lecture 5: Homework Reading Asssignment
Lecture 6: Big O for Python Data Structures
Lecture 7: Big-O Reference Cheat Sheet
Chapter 12: Array Sequences
Lecture 1: Introduction to Array Based Sequences
Lecture 2: Low Level Arrays
Lecture 3: Dynamic Array
Lecture 4: Dynamic Array Excercise
Lecture 5: Amortization
Lecture 6: Interview Problems – Arrays
Lecture 7: Anagram Check – Interview Problem
Lecture 8: Anagram Check – Interview Problem – SOLUTION
Lecture 9: Array Pair Sum – Interview Problem
Lecture 10: Array Pair Sum – Interview Problem – SOLUTION
Lecture 11: Find the Missing Element – Interview Problem
Lecture 12: Find the Missing Element – Interview Problem – SOLUTION
Lecture 13: Largest Continuous Sum – Interview Problem
Lecture 14: Largest Continuous Sum – Interview Problem – SOLUTION
Lecture 15: Sentence Reversal – Interview Problem
Lecture 16: Sentence Reversal – Interview Problem – SOLUTION
Lecture 17: String Compression – Interview Problem
Lecture 18: String Compression – Interview Problem – SOLUTION
Lecture 19: Unique Characters in a String – Interview Problem
Lecture 20: Unique Characters in String – Interview Problem – SOLUTION
Chapter 13: Stacks Queues and Deques
Lecture 1: Stacks, Queues, and Deques Overview
Lecture 2: Stacks Overview
Lecture 3: Implementation of Stack
Lecture 4: Queue Overview
Lecture 5: Implementation of Queue
Lecture 6: Deque Overview
Lecture 7: Implementation of Deque
Lecture 8: Stacks, Queues, and Deques Interview Problems
Lecture 9: Implement a Stack – Interview Problem
Lecture 10: Implement a Queue
Lecture 11: Implement a Deque – Interview Problem
Lecture 12: Balanced Parentheses Check – Interview Problem
Lecture 13: Balanced Parentheses Check – Interview Problem – SOLUTION
Lecture 14: Implement a Queue using 2 Stacks – Interview Problem –
Lecture 15: Implement a Queue using 2 Stacks – Interview Problem – SOLUTION
Chapter 14: Linked Lists
Lecture 1: Linked Lists Overview
Lecture 2: Singly Linked Lists
Lecture 3: Singly Linked List Implementation
Lecture 4: Doubly Linked Lists
Lecture 5: Doubly Linked List Implementation
Lecture 6: Singly Linked List Cycle Check – Interview Problem
Instructors
-
Jose Portilla
Head of Data Science at Pierian Training -
Pierian Training
Data Science and Machine Learning Training
Rating Distribution
- 1 stars: 182 votes
- 2 stars: 242 votes
- 3 stars: 1112 votes
- 4 stars: 3792 votes
- 5 stars: 6227 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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