Hello guys, if you are preparing for a coding interview but struggling to
solve Dynamic programing based coding problems and looking for the best
resource to improve your Dynamic programming skill then you have come to the
right place. Earlier, I have shared the
best coding interview courses and best Recursion courses, as well as popular Dynamic programming problems from interviews,
and today I am going to share the best online courses to learn Dynamic
programming in depth. Dynamic programming simply means that plain
recursion can be optimized when there are repeated calls for some inputs.
This means that the results of the smaller subproblems in a recursion can be
stored so that there is no need to recompute them again. This optimization
will dramatically reduce the time complexities of a program.
This optimization of the subproblems will result in the optimization of the
problem and is called optimal substructure property. The main point to
remember here is that
dynamic programming
can be used to solve optimization problems, for example, when we are trying to
find the minimum or maximum solution of a problem.
Dynamic Programming can also be simply defined as the technique for solving a
complex problem by first breaking it down into a collection of simpler
subproblems, solving each subproblem just once, and then storing their
solutions to avoid repeated calculations.
6 Best Dynamic Programming Courses for Beginners to Learn in 2024
We have done the hard work for you and compiled a list of the best dynamic
programming courses available on the internet. These best Dynamic
programming courses are very good for coding interviews and I highly recommend
you to improve your dynamic programming skill before the interview.
You will always find one question from Dynamic programming and backtracking on
interviews. These are also the best Dynamic programming courses from sites
like Udemy, Pluralsight, and Coursera. Check out the list below.
This course on dynamic programming will teach you how to solve any dynamic
programming problem by using either the memoization approach or the tabulation
approach. You will begin the course by learning about the history and
importance of dynamic programming.
You will follow that up by learning about the top-down approach of dynamic
programming, also called memoization, before learning about the bottom-up
approach of dynamic programming, called tabulation.
When you purchase this course, you will get lifetime access to more than 6
hours of on-demand video lectures, 21 articles, and 13 downloadable
educational resources. It also has a reminder session on recursion which is
very important for solving dynamic programming problems.
Course Duration: 6 hours
Course Rating: 4.9 stars out of 5
Course Instructor: Inside Code
Course Price: $14
The creator of this course is Inside Code, which is a content creation society
that creates well-structured digital content and courses on data structures.
This is a course that covers all the techniques for designing algorithms like
divide and conquer dynamic programming and greedy algorithms. It will
introduce you to features like intractability and NP-completeness.
You will also get a basic understanding of using linear or integer programming
solvers for solving optimization problems.
Course Duration: Approximately 38 hours
Course Instructor: Sriram Sankaranarayanan
Course Price: $32
By the way, If you are planning to join multiple Coursera courses or
specializations then consider taking
Coursera Plus subscription
which provides you unlimited access to their most popular courses,
specialization, professional certificate, and guided projects. It cost around
$399/year but is worth it.
This course will provide you with a platform for learning a step-by-step
approach for solving any Dynamic programming problem. This is a hugely popular
course on the Udemy platform with a 4.5-star rating and with more than 4,000
students enrolled.
The course contains detailed solutions with code in Java and Python for over
15 of the widely popular Dynamic Programming questions.
Course Duration: 5 hours
Course Rating: 4.5 stars out of 5
Course Instructor: Ajay Prakash
Course Price: $14
Once you purchase this course, you will get lifetime access to more
than 4 hours of on-demand video lectures and 26 downloadable educational
resources. You will learn about things like Recursion, Data Structures, and
Algorithms.
This is a very interesting course and is slightly different from all the other
courses on this list. In this course, you will learn how dynamic programming
and Hidden Markov models can be used to compare genetic strings and uncover
evolution.
In the first part of the course, you will see how a dynamic programming
paradigm can be used for solving questions related to evolutionary histories.
Then, you will use the powerful Machine Learning Approach for finding
relationships between less related areas like the rapidly mutating HIV
genome.
Course Duration: Approximately 4 weeks
Course Instructors: Pavel Pavzner and Phillip Compeau
Course Price: $150
In short, one of the
best edX courses to learn about Dynamic Programming and
its application in Machine Learning and Genomics.
The main highlight of this intermediate-level course is that more than 10,000
students have signed up for it on LinkedIn Learning. As the title suggests, it
will teach you all about the fundamentals of dynamic programming and take your
coding to the next level.
You will learn about the different uses of dynamic programming, when to use
it, and how it can create good algorithms for solving real-world issues. You
will also learn how to compute a Fibonacci sequence and how to visualize it as
an acyclic graph.
The instructor of this course is Avik Das, who is an experienced software
engineer with a strong academic background. Overall a great online course to
learn Dynamic Programming fundamentals not just for coding interviews but
also for your own knowledge and become a better programmer.
Course Duration: 1 hour 25 minutes
Course Rating: 4.3 stars out of 5
Course Instructor: Avik Das
Course Price: $12 per month for an annual membership or $19 for a monthly
membership
By the way, you would need a LinkedIn Learning membership to watch this course
which costs around $19.99 per month but you can also watch this course for
FREE by taking their
1-month-free-trail
which is a great way to explore their 16000+ online courses on the latest
technology.
This is the closest you will get to a Dynamic programming masterclass,
especially on the Udemy platform. Here, you will learn all about Recursion,
Memoization, and Tabulation.
Dynamic programming is believed to be one of the toughest topics in the
programming world and the aim of this course is to simplify it and teach you
the basics of this type of programming. You will gain hands-on experience in
the two most popular techniques of Dynamic programming, namely memoization
and tabulation.
You will also learn the key differences between these two techniques, and
also gain an understanding of where and how to use these.
Once you purchase this course, you will get lifetime access to more than 5
hours of on-demand video lectures. 20 downloadable educational resources,
and 2 coding exercises. The entire course is divided into 10 sections and 48
lectures.
Course Duration: 6 hours
Course Rating: 4.8 stars out of 5
Course Instructor: Hadi Youness
Course Price: $14
The creator of this course is Hadi Youness, who is a Computer Engineering
student at the Lebanese American University. He has a 4.9-star instructor
rating on Udemy and has taught 50,000 students on the platform.
Also, the course is available at a whopping 81% discount on Udemy right
now. So what the hell are you waiting for? Go over there right now.
Frequently Asked Questions about Dynamic Programming
Now, let's see common questions programmers ask about Dynamic Programming
and its usage, particularly when they first start with Dynamic programming.
1. What is Dynamic Programming?
Dynamic programming simply means that plain recursion can be optimized
when there are repeated calls for some inputs.
2. Where is Dynamic Programming used?
Dynamic programming can be used for solving more complex problems
easily. We can break the complex question into little subproblems.
3. What are the advantages of Dynamic Programming?
The main advantage of dynamic programming is that it can obtain local and
optimal solutions easily.
Conclusion
That's all about the best Dynamic programming courses for coding interviews.
This list contains the best and most affordable Dynamic Programming courses
available on the web right now. I am sure that these courses will turn you
from a novice into an expert on Dynamic programming within a matter of days
or weeks.
Some
Useful Resources for Coding Interviews:
Thanks for reading this article so far. If you liked this list of
the
best Dynamic Programming online Courses, Training Classes, and Tutorials then feel free to share it with your
friends and family. If you have any doubts or questions, drop a comment
below and we will get back to you in the blink of an eye.
P. S. - If you need more practice, including dozens more Dynamic
programming problems and solutions covering popular Dynamic programming
patterns then you can also check out
Grokking Dynamic Programming Patterns for Coding Interviews on Educative.
It's an excellent, text-based interactive course to build your Dynamic
programming skills. Educative as a platform is also a great resource for
coding interviews and you can get all of their course access by just $14.9
per month. I highly recommend this to anyone preparing for programming job
interviews.
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