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Dynamic Programming Problems: Top 10 Algorithms Asked In Interview Questions

You will learn how to derive the recurrence relation and write a recursive solution to it. Then you will write a dynamic programming solution to the challenge and – in the span of just a few minutes – code it!
/5
Created by Naga Rakesh

8.7

CourseMarks Score®

9.4

Freshness

N/A

Feedback

7.5

Content

Platform: Simpliv Learning
Price: $14.99
Video: 1h17m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.4 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

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Content Score

7.5 / 10
Video Score: 7.5 / 10
The course includes 1h17m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 1 hours 03 minutes of 63 IT Fundamentals courses on Simpliv Learning.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

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Table of contents

Description

Preparing for a job interview is no easy task, and it becomes manifold harder when you have a whiteboard coding interview coming up. A lot of developers straight up confess they are bad at (or even hate) them. If you are one of these developers and if you want to get better, this tutorial is just for you. Have a glimpse into the algorithm interview questions that you’ll most probably face in your next job interview.

Learn the Most Common Dynamic Programming Interview Questions.

In this tutorial, you will see various dynamic programming problems and solutions. You will go through several 1-dimensional and 2-dimensional dynamic programming problems. You will learn how to derive the recurrence relation and write a recursive solution to it. Then you will write a dynamic programming solution to the challenge and – in the span of just a few minutes – code it!

By the end of this tutorial, you will be entirely prepared for a whiteboard coding interview. You will know how to focus on complex algorithm-related questions that require deep and focused thinking and a good grasp of the concepts of problem-solving. That is, you will learn how to handle algorithm interview questions will ease and confidence so that no dynamic programming interview questions will knock you off.

To accomplish this, you will have to develop a strong intuition on how to solve new and novel problems. Therefore, this course will provide you with dynamic programming problems and solutions and a lot of powerful tools that will help you ace your coding interview. You will solve complex problems until you gain that intuition and be able to walk into a real meeting confidently.

This Tutorial Was Created By Analyzing Real Algorithm Interview Questions.

The problems in this tutorial have been constructed and created by handpicking real dynamic programming interview questions, by combing through hundreds of interviews and handpicking the most common and eye-widening cases interviewees have been presented with.

These questions come from several tech companies, from new up-and-coming startups to massive corporate enterprises such as Google, Facebook, Amazon, Microsoft. The issues you will encounter in this tutorial are hard because beneath them hide complex problems involving profound concepts in the quest to learn how to solve dynamic programming. When you know how to solve them, you will develop an intuition that will help you approach new dynamic programming interview questions you have never encountered. Your mind will become a powerful tool, ready to use all the tricks you have learned here.

Tutorial for Beginners with a Background on Recurrences

This comprehensive video tutorial will show you how to approach and solve on the spot any new dynamic programming problems you might encounter and answer all the algorithm interview questions.

Each lecture will begin with an introduction – what you need to solve – and will move on to explaining the intuitions that hide behind the question (with graphic examples). Then you will learn the concepts and tricks that will help you solve the problem. So you can see that by having dynamic programming problems and solutions together, you will not only be able to learn but also test yourself.

So if you are a beginner and don’t know where to start, if the prospect of a whiteboard coding interview scares you – do not worry anymore. This tutorial will teach you real algorithm interview questions to provide you with the intuition that will help you tackle any new problem you might encounter.

Basic knowledge
You should have a slight background on recurrences

Requirements

• You should have a slight background on recurrences

You will learn

What will you learn
✓ How to code a dynamic programming solution
✓ How to solve frequent 1D and 2D dynamic programming problems
✓ How to come up with a dynamic programming solution

This course is for

• Advanced learners who are preparing for their software engineer programming interviews
• College students studying Computer Science
• Programmers who want develop intuition solving graph algorithms related problems

How much does the Dynamic Programming Problems: Top 10 Algorithms Asked In Interview Questions course cost? Is it worth it?

The course costs $14.99. And currently there is a 80% discount on the original price of the course, which was $74.99. So you save $60 if you enroll the course now.
The average price is $16.8 of 63 IT Fundamentals courses. So this course is 11% cheaper than the average IT Fundamentals course on Simpliv Learning.

Does the Dynamic Programming Problems: Top 10 Algorithms Asked In Interview Questions course have a money back guarantee or refund policy?

YES, Dynamic Programming Problems: Top 10 Algorithms Asked In Interview Questions has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Dynamic Programming Problems: Top 10 Algorithms Asked In Interview Questions course, but there is a $60 discount from the original price ($74.99). So the current price is just $14.99.

Who is the instructor? Is Naga Rakesh a SCAM or a TRUSTED instructor?

Naga Rakesh has created 2 courses that got reviews which are generally positive. Naga Rakesh has taught students and received a average review out of reviews. Depending on the information available, Naga Rakesh is a TRUSTED instructor.

More info about the instructor, Naga Rakesh

Data Science + Business @University of Michigan
Harvard Business School, HBX CORe Program Cohort 2018.

• Secondary degree in Strategic Business Management, Corporate Governance, Economics in Innovation, The Business

scope of Entrepreneurship.

• Secondary credits degree in Strategic Business Management. Done and attended Corporate Governance, Economics

in Innovation, The Business scope of Entrepreneurship, with an overall percentage of 91 %.Member of the HSA Leadership society.Two papers published in the Harvard Summer Review. Worked on several startup ideas and on the design and conceptualization of startup models. Performed several case studies on Disney, Pixar, Tesla, snapchat, ford, etc. Published my degree submission paper on Tesla. Harvard COOP member.Member of the Apple University Developer Organisation at Harvard University

8.7

CourseMarks Score®

9.4

Freshness

N/A

Feedback

7.5

Content

Platform: Simpliv Learning
Price: $14.99
Video: 1h17m
Language: English
Next start: On Demand

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