Ace The Coding Interview: Land Higher Paying Jobs At Better Companies.

The TRUTH IS, in an interview “aint nobody got time for dat!”

The problem with learning from college courses, whether in person or online is that you waste too much time on shit you don’t need to know and won’t ever have to do in an interview.

You will learn in a streamlined & optimized manner that will directly correlate to what you’ll need to know and do during interviews. College courses waste way too much time on theory.

We have all the data on the interview topics and depth of knowledge required during an interview as it relates to data structures & algorithms and system design.

You won’t waste your time on the algorithms and data structures that have almost a 0% chance of being asked on your interview, we won’t waste your time with too much theory, or diving deep into a complex algorithm to show how smart we are and you’ll spend more time ingraining and practicing the most asked topics.

Another TRUTH IS, in an interview: getting ANY solution to a problem is often good enough! And your thought process and problem solving skills are even more important.

In the real world applications are constrained by the amount of memory or processing power. Being able to write code that will perform satisfactorily or optimally is often of critical concern.

After taking this course you’ll be able to quickly determine the complexity of algorithm, data structure and be able to choose the correct one for the job at hand.

More importantly you’ll be able to figure out the complexities for any given piece of code that you write or are presented with during an interview.

Having A Mastery Of Searching Algorithms Will Not Only Allow You to Sort Data,

But They’re Also Building Blocks For More Complex Algorithms.

You’re Going To Learn Not Just Important Searching Algorithms,

But All Their Important Qualities, Such As:

• Learn the 7 important criteria & attributes of sorting algorithms.
• Learn how to quickly implement the common sorting algorithms.
• How To Pick The Right Sorting Algorithm.
• Learn to reason about different algorithms, their strengths, weaknesses and tradeoffs.
• Sorting Algorithms In The Real World.

You’ll learn the trade-offs you have to make when choosing a sorting algorithm and what questions you need to ask to decide. You’ll be able to find the algorithm that will work the best for each situation. Sometimes you may need to optimize for space, others for memory, some times you need the absolute the fastest algorithm.

We Need To Be Able To Efficiently Search Through Data In Data Structures,

Otherwise We Must Look At Every Item

You’ll learn how to search different types of data structures including Arrays, Lists, Trees & Graphs.

• Learn how to implement the searching algorithms actually asked on interviews.
• Learn to reason about different search algorithms, their strengths, weaknesses and tradeoffs.
• Learn how to pick the best searching algorithm for the task at hand.
• Learn how to search Arrays, Lists, Trees, Strings, Graphs

Randomization is a useful type of algorithm approach that will be very useful to you passing your interviews and in the real world as well. The are often used in Graph Theory and Distributed Computing.

Randomization algorithms will allow you to scale certain solutions easily while using much less time & space.

However you must take care as not all randomization algorithms give correct answers! You’ll learn how and when to apply these algorithms in this course. Also, if you’re not careful, randomized algorithms may not complete at all!

Done correctly, randomization algorithms can be quite simple and highly efficient.

• Learn how to spot questions that demand a randomized solution
• Learn how to solve & reason about these problems.
• Learn how to not get tripped up and makes sure your algorithm gives correct answers!

Many problems, especially those asked on interviews deal with traversing trees.

In this course you’ll become a master at solving these types of problems.

Learn:

• How to implement & reason about when to use each type of Tree traversal.
• Figure out which type of traversal needs to be used to solve different patterns of problems.
• Learn the 2 major ways to do tree traversal, the strengths, weaknesses & tradeoffs of each type of traversal.
• Learn which data structures you can use to solve these problems in an optimal manner

Become a master in Arrays, Dynamic Arrays & Lists.

Arrays & Lists are both sequential data structures, however their algorithmic properties are very different.

You’ll not only learn how to process array’s optimally, but you’ll learn how to choose between the data types and pick the correct one for the job at hand.

But first, you’re going to learn how to create your own Lists from scratch and Dynamic Array’s as well.

You’ll learn all of the different things you need to consider when choosing between these data structures, such as whether where and if you’ll be inserting, searching for, removing elements from the structures. All of these factors can have a big effect on the efficiency of the chosen structure.

In this module we’ll be taking a deep dive into Hash Tables & Hashing related algorithms.

You’ll not only able to explain the inner workings of a Hash Table, but you’ll also be able to build your own Hash table from scratch using 3 different techniques.

You’ll learn why these 3 different implementations exist and the problems they solve. Why should it matter? I thought a Hash Table will always have the same complexities? In theory yes, in practice, it depends, you’ll learn why.

Learn the data structures that can be used in place of hash tables, when to choose them instead, the strengths, weaknesses, tradeoffs and which problems are better solved using each.

In this module you’re going to master recursion and be able to simplify complex problems, write elegant solutions, increase your code readability, process data more efficiently and increase your problem solving skills.

You’ll also learn the disadvantages of recursive solutions and how & when to implement them in an iterative manner instead.

Some problems are inherently easier to solve and reason about in a recursive manner.

And finally we’ll take a look at some of the gotcha’s associated with recursive solutions and make sure you don’t Stack Overflow!

Backtracking is very similar to recursion, except it allows you to optimize some solutions.

It can often be reasoned about in a brute force manner, but the resulting implementation will be much faster.

You’ll learn how you can reason about and solve problems in a step by step manner and be able to easily debug your solutions.

However, you must be careful when using backtracking as your solutions might end up being quite slow or worse return no result at all!

You’ll learn how to reason about whether your solution will use too much memory and processing power.

Struggling with Dynamic Programming? It’s ok, most people do. But, the good news it’s not as hard as you think it is.

In fact, there are only 2 properties that you have to identify to determine if dynamic programming will be the correct solution to the problem. You’ll learn how to quickly identify these 2 things to quickly classify these problems in an interview.

More importantly you’ll be able to quickly identify & solve variations of these problems, just in case you don’t run into the specific problems above.

You’ll learn how to reason about when to use a dynamic approach, and when a dynamic approach will be an utter failure.

Traditional searching algorithms often take up a lot of time and space when it comes to searching through strings or text.

With the rise of AI, pattern and string search have gained even more importance. We can even use these pattern searching algorithms to search images.

Apply the wrong type of search these problems and you’ll quickly find yourself with incredibly slow solutions that use way too much space.

You’ll learn not only how to create efficient solutions to these problems, but how to spot when to use them quickly.

From online shopping, search engines, Artificial Intelligence, image, audio and video search and dealing with the advanced complexities of large data sets for data mining and data warehousing, pattern and string search has never been more relevant.

And that means you’re all but guaranteed to see these question on an interview.

Divide & Conquer algorithms are very powerful and allow you to solve complex difficult problems much easier.

Divide & Conquer algorithms are a double edged sword however, on the one hand they can allow us to speed up certain solutions, but they can also be slow depending on the implementation style used.

You’ll learn how to spot problems that can be solved more efficiently with this strategy and how to implement them in an efficient manner without being too slow.

Graphs can be intimidating at first, but once you learn a few tricks, you’ll be solving powerful problems.

In addition to passing your interview, when you obtain graph processing skills you can be in high demand in fields such as parallel computing, data compression, locality optimization and add value to your companies graph analytics.

Facebook for example deal with large social networking problems with billions of vertices and edges. In order to process this much data efficiently you must know some graph processing algorithms that make dealing with this much data more efficient.

Mastering greedy algorithms will not only help you pass interviews but also are incredibly useful in real world applications as well.

Greedy algorithms are used in network design to create optimal networks, they’re used in machine learning algorithms for things such as classification and clustering, they’re used in image processing algorithms such as de-noising and optimization, they’re used in Game Theory and even Financial optimization.

You’ll be able to quickly identify when to apply greedy algorithms and you’ll be able to solve the common problems asked during interviews.

Learn how to spot which problems are best solved by using greedy algorithms so you can solve them during interviews.

This is not about memorizing questions for your interviews, although you might luck out and get the same questions on your interview.

We carefully selected 97 questions that are not only great practice for your interviews, but also contain key concepts or techniques that can be applied to solve other related problems!

You’ll get step-by-step walkthroughs of these key questions, and how the concepts and techniques used to solve the specific problem can be applied to solve related questions.

• Learn to quickly identify what the core problem an interview question is trying to get you solve.
• Learn how to combine the usage of data structures to solve problems.
• Identify & Understand & classify problems into potential solution buckets.
• Common Linked List problem patterns and solution techniques.
• Common Iterator Techniques to solve problems faster.
• Common Array problem patterns and techniques to solve more problems.
• Common Tree problems and solutions.
• Common Graph problem patterns and solution techniques.
• Common Heap problem patterns & solution techniques that can solve certain problems in a jiffy.
• Common Permutation & Combination problems and solution techniques.
• Solve Many Sorted Array, Linked List or Matrix problems using 1 technique.
• Learn how many topological sorting problems can be solved with this one algorithmic approach.
• Learn when you need to use a modified Binary Search & when a standard binary search won’t apply.

You’ve devoted the time and effort to learn the skills that will help you pass the interviews and now it’s time to craft a resume that will actually lead to interviews!

• Learn how to create a resume that get’s attention, both from recruiters and companies.
• Learn how to improve your odds of getting that interview with the top companies.
• Keep recruiters and hiring managers reading and engaging with your entire resume.
• Learn how properly present both your software skills and your equally important soft skills.
• Make your resume stand out in a sea of applicants.
• Whether you’re applying for entry level, mid level or senior level positions we’ll show you the best formats for each level.
• Don’t make these mistakes that kill offers.
• Learn how to prep for the interview.
• Learn how to not get tripped up on the behavioral interview.

We Charge $197 For Our Course

Which Is An Incredible Value & We Expect The Price To Go Up, So Signup Now.