5 on-going trends in the field of Deep Learning

Deep learning has been popular for quite some time now. It has brought several benefits to many businesses since deep learning has boosted effectiveness of pattern recognition, fraud detection and in many other fields. However, it has not been very well injected in many modern organisations. There are justifiable reasons for it. Deep learning is difficult to integrate and plus, it requires a complete makeover of the technology of the organisation.

But deep learning trends continue to rise and trudge into the world of business. Some of the trends that might rule 2019 are:

  1. Transfer learning

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Transfer learning is an immensely popular technique where a model which has been designed to do one task can be modified to perform another similar task. For example, imagine that you have an object classifier which can only detect objects like trucks. Now, you can modify it to detect cars. The method combines the quick learning approach with deep learning. And since you use pre-trained the models from different open source networks, it does not require you to start from scratch.

2. VUI

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VUI (Voice User Interface or Vocal User Interface) is the interface that is used to enable a conversation to be set up between machines and humans. Can you think of any such interface? Ask Alexa. Yep, it may have started with cell phones, but now it has moved into our home automation systems. Deep learning algorithms like language modelling, speech recognition and translation keeps running in the background. These voice assistants are always getting modified by adding something called ‘skills’. Everything is a skill, including changing the date each day. In recent times, with the inclusion of smart lights and speakers, the VUI seems to boom in 2019 and beyond.

3. ONNX architecture

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A programmer’s dream — the ONNX or Open Neural Network Exchange is a kind of open format that could be used to represent several deep learning models. It would be possible for AI developers to move from one model to another using ONNX. Imagine you use TensorFlow library for developing a deep learning model and now, it can only run in TensorFlow library. With ONNX, you can now have interoperability between different models and use it in a different model base too. Now, most libraries use ONNX model — a true game changer for 2019 and beyond.

4. Machine comprehension

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This is what you might have thought AI domination, as in the sci-fi movies, meant. In Machine comprehension, AI models are used which provide the computer with the ability to read documents and answer questions in it. Basic task for humans, monumental for AI. Stanford Question Answering Dataset is the dataset that is being used. This is a popular field as almost all major players, from Microsoft, Google and Facebook are working on it.

5. Edge Intelligence

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We already know about cloud computing and IoT. It has revolutionised the world of technology but how storage and extraction work. But so many connections are just messing things up. With Edge, data is no longer stored in the cloud but close to the data source. The result: there will be much less delay in the communication process and so, you have improved results coming in real time. Since IoT is bound to increase in the future, Edge Intelligence doesn’t seem far away.

Deep learning is ever expanding. Tap into any one of these areas and you will see how you flourish with it. Deep Learning is destined to change the shape of technology within the next decade! And if you’d need help uncovering the layers that are present in Deep Learning, don’t forget to visit us at Coding Ninjas, and check out the course on Machine Learning we offer!

7 things to keep in mind before a competitive programming battle

The adrenaline is rising. Your hands are sweating at the moment. You are in a competition — time is of the essence and you will be judged on it. Several programs will be thrown at you — you need to work through them — correctly and FAST. All that you have in your arsenal is your programming knowledge, active brain work, and of course, speed. But combining the three does not always work in your favour. Competitive programming battles can be scary — it’s stressful. But like all competitions and ‘exams’ — if you are confident, you can have the world in your palms.

Here are some of the things to keep in your mind before going for a competitive battle:

1. Choose Your Language

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Which language are you most comfortable in? When you are entering a Competitive programming battle, you have to select the proper language which will be accepted. For example, C++ will be accepted by most competitions and is one of the fastest languages out there. In today’s world most of the languages are equal but C++, Java and Python are most popular.

2. Find Your Style

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You may have a specific coding style. You might add more spaces, or you might add braces in the if statement. Your unique coding style defines your coding. Do not deviate from your coding style unless it’s absolutely necessary. Master your style. While developing your coding style remember to keep it — 1) Easy and fast to implement. 2) Easy to Read, which naturally means it would be easy to debug too.

3. Get the basics right

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The basics are the foundation of your work. So, even if you are a seasoned programmer, just brush over the basics again. This will strengthen your work and make your coding style more capable. It will also help you fall back on something if there is any problem during the programming session. So, never ever underestimate the basics.

4. Master Data Structures and Algorithms

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This is the hard part. You have to go through complex data structures and algorithms and they are so many. How will you start off? The best thing to do here is to follow a hierarchical system. Start with the fundamental algorithms and then, start going deeper. However, don’t go through algorithms just a day before the exam. Let you mind rest.

5. Practice Makes Perfect

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Practising is important. Start to work hard, give in all your efforts for the competition. Don’t overwork the previous day but work hard enough in the days before. Give your best in developing your programming voice. You can use Sphere Online Judge (SPOJ) to practice. Boost your implementation skills.

6. Splitting Up The Problem

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Generally, when you are in a competition, you will be given problems with huge descriptions. Start by splitting them up. Keep your pen and paper in hand and remove any kind of digression present so that you get a compact ‘necessary’ descriptions which you can use. It will save time and make you more efficient.

7. Finally, Don’t Take The Fun Out of It

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Competitive battles are fun too — you are testing your limits. Don’t overstress and take out the fun from it. Programming is creative and fun too. Try to look at it in a positive light. Be confident, have the aim to socialize with other competitors and learn more about their skills. Take the entire competition on a light note. It will help you with your nerves.

Some Don’ts:

  • Don’t use Ideone.com as it makes your code public and it will fall under plagiarism.
  • Don’t discuss the problem when the competition is running online or offline. Don’t ask about the problem from Quora or Stack Overflow during the competition as it will be considered cheating.

Best of luck with your competition. Remember, winning is not everything. Sometimes, you just have to learn things again. Make the competitive battle a learning one.

Always keep in mind that:

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With all said and done, you can, at any time, visit us at Coding Ninjas and get your doubts clarified. Our expert teachers have mastered the art of competitive programming, and can help you with the same!

YouTube as a companion to learning the essentials of Coding!

You know it for its cat videos and meme videos. Maybe the battle between T-Series and Pewdiepie has kept you hooked to it. Yes, we are talking about the famous YouTube. YouTube is the face of content creation and education videos right now. So, if you are looking to get your coding skills a boost, why don’t you try out YouTube? Coding ninja hosts a lot of educators and programmers to help you out with coding. Let’s find out more about this famous YouTube channel that is going to make your coding easy peasy:

Coding Ninjas

If you really want to get the best coding mind, you need an environment which promotes both education and interaction. Coding Ninjas is the ultimate channel which mixes the two. With programmers turned educators and educators turned programmers, this channel will give you an in-depth knowledge of Python, C++ and advanced machine learning. Plus, to inspire you further, you get success stories of people working with Microsoft and Google. Get a personal in-depth learning experience with Coding Ninjas YouTube Channel.

The Coding Ninja Sections That Will Interest You

Education

By setting an educative environment, Coding Ninjas makes sure that despite being in front of a a computer screen, you can have an immersive education session. From interactive dialogue to webinars and foundation courses, Coding Ninjas gives you the guidance to learn the difficult concepts of programming just on your mobile phone. Just keep your copies ready and start coding.

Tech Tales

A small brief on certain interesting concepts of technology — tech tales discusses about different new and complicated process behind programming. Unlike the educative sessions, this is more personal — after all, not everyone likes to stay in that authoritative classroom. Get on a one-to-one feel with your teacher as they discuss new concepts and get subtle tips for your next programming journey.

Success Stories

Are you feeling a little demotivated with all the complicated programming you have to go through? Keep your chin up — look at the success that so many students just like you had got. Hear from them personally how they studied and how they excelled. Remember, it’s not always about working hard but working smart that matters. Let them guide you and one day, you will have your success story here too!

Interview Experience

Selected for a top company? Worried about how the interview process will take place? Just watch the interview experience of some of the star students who cracked the interview and have been selected among thousands for a job position. Find out their strengths — the difficulty of the interviews and how their own projects. Develop your mindset and go out there — your job position is waiting for YOU to fill it up.

Coding Ninjas have set everything for an all-round learning experience for you. So, what are you waiting for? Get your headphones out, set your copies in front and start learning to code like a master!

Taking a test for your dream job? Here’s why you can’t ignore aptitude skills.

 

So, are you looking for your dream job? Well, we can assume one thing about you-you are probably not looking for a boring job where people are always ordering something and you have to mindlessly do it. Nope — years of education does not teach you that. Rather, you would like to go for a job which requires you to put your own unique brain power into action so that you can do something for the company and for your personal development.

Well, the thing is — companies are searching for the same thing. They are looking for people who are innovative. Or at least, people who have the skills to contribute in some kind of innovative endeavour.

So, do we have your attention now? Sounds like your dream job!

But to develop your skills in innovation, you have to focus on certain areas of your personality. These are the specific points that an interviewer looks for in a creator:

Creativity

It goes without saying that you need to be creative. You have to find out new, unique solutions to different problems. And not only that, you might even have to come up with new problems so as to test the system. The importance of creativity is to find out a way around the system so that you can develop a completely new kind of system.

Problem-Solving

Somewhat similar to creativity — problem-solving lies at the heart of any creative endeavour. Think about it — you are given a problem. Now, you know the solution, but it’s long and tedious. How will you get around it easily? Tap into your creative force. To be innovative, you have to identify the problem and then tackle it in the best way you can. Come up with innovative solutions.

Finally, Communication

Written or Verbal, communication is what makes a plan into action. You might be a genius who has solved a problem in the shortest time, but unless you communicate it, what’s the use? Your solution is nothing unless it’s put out in the world. So, develop your communication skills and spread out your creativity and solution.

Now, we know what an interviewer requires from you. But how do you hone these skills? The practice is the key — but practising what? The answer is just under your nose — it’s aptitude tests, believe it or not. We will explain how:

What Are Aptitude Tests?

Aptitude Tests are carefully designed assessments which can help to determine the skill or talent of a candidate or employee in specific fields. So, not only is it a way to develop your skills, it is also a way of eliminating any field that you may not excel in. It’s not a bad thing to be specialized in one field and to be bad in another. After all — A jack of all trades, king of none — remember?

The good news for you here is that we, at Coding Ninjas, have launched a course that will especially cater to your Aptitude learning skills. The mentor during the course will be someone whom all of us know, he doesn’t really require much introduction – Arun Sharma!

Now, let’s look at the aptitude tests, shall we? What skills do they help you with?

  • Numerical Reasoning: Numerical reasoning asks you to interpret data, statistics, charts and graphs. It is designed in a way so that you can identify a problem and thereby, find a proper interpretation of the same problem. The first step of problem solving.
  • Verbal Reasoning: Communication is important and verbal reasoning comes are a trainer for it. It presents passages of text and written information which you have to interpret correctly and come up with a suitable answer. Communication is not only about confidence, but also about lowering miscommunication. Verbal reasoning makes sure you understand and communicate problems clearly without creating miscommunication.
  • Diagrammatic Reasoning: Again, you are provided with patterns, data and problems to solve. Identify the patterns or any other problem and find the best solution to the given problem. Use your creativity to find a logic behind patterns.
  • Logical Reasoning: Moving from numbers, we come to an entirely creative field. You are provided with some basic information. Using both logic and the creative part of your brain, you have to arrive at a solution to the problem. Engage your creative senses to find logic behind the questions.
  • Inductive Reasoning: Are unfamiliar information somehow connected? That’s what you will be finding out with inductive reasoning. You will be asked to solve problems based on given unfamiliar information. Now, use your creative force to decipher the problems and come up with a solid solution.

Plus, these tests are conducted both written and verbally, making it a great exercise for communication.

So, aptitude tests are the innovator’s whetstone. It is an all-round exercise of your logic, creativity and problem-solving genes. If you are looking for a dream job where you can bring your innovative skills to the table, then it’s time to work on those aptitude skills. Hone the innovator within you so that no interviewer can drop you. And if you’re struggling to do that, don’t hesitate from visiting us!

Internship Talk with Gaurav Sachdeva

A place that provides a great learning experience!

 Review_Poster_15_June_1200x600 (Gaurav)

His amazing experience and what he loved!

I learnt a lot from both of the courses. The teachers were excellent and covered every important bit. Ankush Sir really focus that students do the assignments as without practising the questions there is not much effect of course. He shared really significant problems, experiences, and career advice. My second course was with Tushar Sir, he’s a great developer. He took like 30+ classes to ensure that all the topics get covered. He shared with us unique startup ideas, new technology developments, etc. I really liked the part how he emphasised on the project development with the course as that really helped me in practice. And I got a lot of projects to show.

Interview experience

It consisted of 2 rounds where they asked about Graphs, Dynamic programming, product design and projects.

Advice to Current Students!

If you’re doing a Data Structure course, then do assignments timely and after the course don’t leave programming as this course is just an introduction. Keep practising otherwise, you’ll forget the tricks and techniques.

If you’re doing the Web development course then, give your 200% to the project assignment provided after each phase. 100% to the original project goals and 100% to the innovation and new implementations. Development is considered as just copy/pasting today by many, but it’s more than that. One needs to copy/paste smartly and connecting the dots (MVC), understanding of architecture is essential and useful for the long run.

If you belong to colleges such as GGSIPU or other Tier- 3 or lower colleges, then utilise your 1st and 2nd year by learning Data Structures, solve interviewBit, Cracking the Coding Interview(CITC), etc

Why all this because colleges like DTU, NSIT, NIT, etc. have /great/ programming culture where they focus on DS, Algo, problem-solving till their 2nd year and then take on development. So, if one dedicates so much of their time on DS, Algo, then they can surely crack big companies as you would be dedicating your time rightly. Also, DTU, NSIT colleges have the benefit of college name and so big companies visiting their campus for intern/jobs. But, low-tier college students can get excellent interns if they have a firm grasp over DS/Algo. Utilise your alumni connections, and a well-written email to software engineers can also get you referrals. (Assuming HR get lots of resume forward, contacting engineers can be helpful)

How will you introduce Coding Ninjas to your friends?

You want to learn something, it’s there on the internet, but the question is if you can learn it yourself or not. Give self-study a try and if you fail, then look forward to Coding Ninjas as their faculty is one of the best and you’ll enjoy learning with them.

What was the best part about this placement process?

I didn’t have to bother about anything as Coding Ninjas handled communication with HR and informed me beforehand. Also, they kept my time convenience into consideration.

Thank you for your constant support and guidance!

The principles of debugging: Explained

Programming may be easy or difficult, based on the programmer. There are several parts present in programming, and you might even excel in one of them and not excel in another. That is totally fine. But when you act as a proper developer or programmer, you have to be able to find problems in your program and engage in a debugging process. Debugging is a bit difficult. If you are dealing with a large program, then finding the error would be like searching for a needle in the haystack. But even if you do identify the problem, how do you deal with it effectively? Will your first solution be the fix too? Not necessarily.

Debugging can be a complex situation. And that’s the reason why we need to find a way out of it. We have certain principles that we need to follow to be able to troubleshoot or debug our program.

Let’s say that your program encountered an error. So, what are the steps that you are going to take?

  1. Identify The Problem: Yes, it will be difficult. You will not be able to find it easily but the first step will always be to look for the problem. Check the program thoroughly and find the problem.
  2. Reproduce The Problem: This is a difficult step but a necessary one. Keep the root program unchanged and then, create a situation on a separate project where you reproduce the problem. It is in this project that you will apply the fix and work on to finalize a debugged program.

So, now, you have identified the problem as well as reproduced a situation where a problem is present. What do you do now? This is the time when you take the ‘Scientific approach’. What is the scientific approach?

  1. Developing a hypothesis: You have a problem in your hand but you are not quite sure about the solution. What do you do? Develop a hypothesis of your solution. You may have many solutions in your mind — but select the most appropriate. WRITE IT DOWN. Also, think of the hypothesis as a hypothesis — not a solution, not a diagnosis. It is a guess which can easily be wrong.
  2. Falsifying a hypothesis: This is what we mean by the scientific method. In science, when scientists come up with a hypothesis but they don’t try to prove that it is right. Rather, they try to prove that it is wrong — they try to negate/falsify it. If it is negated, the hypothesis undergoes changes, until a non-negated hypothesis is created. So, come up with your own hypothesis and do your best to negate it.
  3. Operating Hypothesis: Now, after you have applied all the different hypotheses, you are supposed to come up with a hypothesis that cannot be negated. This is a non-falsifiable hypothesis, your strongest one yet. Now, you can consider this hypothesis as a potential fix. Why is the word ‘potential’ being used here? Well, the fix is also a guess. It can go wrong easily and so, you cannot consider it as a diagnosis. Rather, you have to understand it as another hypothesis which stood the battery of tests and has passed to become properly tested as a fix. For now, this is your best guess — hence, your effective fix.
  4. Testing out the fix: Now, your hypothesis becomes a fix. This time, you come up with a new hypothesis: “My fix worked”. Go back to step one. Try to negate this hypothesis as well.
  5. Slow Down: As you can see that the debugging process can get quite complicated over time. So, don’t rush through it — it will only cause more problems and slow down the debugging process. Go slow and be careful — it will increase your chances of becoming correct.

So, apply these principles of debugging and you can easily minimize the errors in your program fast and most effectively. With that, you’re now on your way to debugging any problem that comes in your code. However, if you feel stuck or would need an expert to help you through, reach out to us at CodingNinjas — we’ve got your back.

The Ultimate Beginners Guide to Analysis of Algorithm

When you are learning computer programming, you can’t do without algorithms. That’s the first thing that you will encounter. Now, what is an algorithm? It’s a fairly easy topic — an algorithm is a list of steps that we undertake to complete a task. Yes, it’s as easy as it sounds. And as humans, we tend to perform certain steps to complete simple tasks without even thinking much about it. Now, let’s see how it works in our daily activities.

Let’s say you want to buy a book from Flipkart. How will you go about it? You already have the book title in your mind. Now, you will take the following steps:

Step 1: Open Flipkart (app or website)

Step 2: Type the book title on the search bar and click search.

Step 3: Check if the book is in stock. If so, add it to cart.

Step 4: Proceed to the checkout process.

Step 5: Confirm.

Step 6: Wait for the delivery to happen.

It comes naturally to us. But for the computer, these steps are to be ‘inputted’. And it can get really complex. That’s the reason why we need algorithm analysis.

What is algorithm analysis?

It is analyzing the algorithm for performance and resource usage. Why is performance so important? The performance tells you if you have done a program correctly or not. Faster performance does not always mean that you have done it correctly, but the slower performance and correct answer can mean that you have complicated the code. As you can see, there is a lot of complexity that comes into this theory. When you are writing pseudocode, that is, the algorithm form for the computer, you have to take into consideration, the following things:

  1. Input: Is the input to complicated or wrong?
  2. Input Size: Is the input becomes too long and would be difficult to process?

Much of the processing will depend on the nature of the input and the input size.

However, there are ways in which you can conduct Algorithm Analysis.

When we are trying to analyze an algorithm, what we try to do is analyze how many times the principal activity of the algorithm is being performed. Then we count the number of comparisons. Some of the ways in which algorithm analyses could be done are:

1. Worst Case — This is done usually

During the worst case analysis, first of all, we calculate the upper bound of a running time. In this case, the maximum number of operations could be conducted over all the different input sizes placed under ‘n’.

2. Average Case

This is used moderately. This is useful but difficult method to use for all measurements, hence its use is limited. In this case, we consider all the inputs and then, consider the computing time taken for all the inputs. Then the sum of values is divided by the sum of the total inputs. The average will help us predict almost accurately the distribution throughout the data set.

3. Best Case

This is rarely used. In this case, the lower bound algorithm is used. Here, we must consider the minimum number of operations that can be executed for the input size ’n’. This might help us to get the best behavior of a specific algorithm.

Now, all you need to do is analyze the complex algorithm and find any errors, if any. Make an effort to amp up the performance of the algorithms in the best way you can. If you find yourself stuck in your journey, feel free to reach out to us!

Placement talk with Simra Afreen

A place where there is real learning!

 

Her amazing experience and what she loved!

I had taken up an offline android course at coding ninjas. My experience was pretty good. I had enrolled in courses online as well before, but usually, the problem was I would get stuck with a question and could not proceed. But here I learnt a lot and was successfully able to build a few apps. In the classroom, the apps that were developed were essential but covered many concepts, including networking, API’s and multithreading. These proved to be very developing more advanced applications.

Interview experience

It consisted of more than 3 rounds, where the focus was mainly on Data structures, concepts of system design and operating systems

Advice to Current Students!

I would advice young coders to learn a skill well and do some real projects so that you can talk about them for at least 5-10 minutes in the interview. Practice competitive coding on different platforms and take part in contests actively. It really helps you to manage the time. Also, I would suggest practice questions on game theory – it will help a lot.

How will you introduce Coding Ninjas to your friends?

I would recommend Coding Ninjas, especially for beginners. It gives a good start and broadens career opportunities because there is real learning. The doubt solving process is beneficial and essential.

Thank you for your constant support and guidance!

Things to keep in mind to develop the correct coding style

 

When you look at any code, you will probably get a bit intimidated by it. With all the braces and hashtags, codes might look like some kind of alien language. Well, that’s how most beginners feel when they come across a programme. But once you start making sense of all the different coding processes and functions, then you will slowly be able to understand how simple coding is. Like language, it might be difficult to learn at first, but once you master it, it will float out of your tongue… rather, your fingers. But programming language, like all other languages, have its own nuances. To write a proper code, you should bank on three major aspects: it should be short, simple and fast. Let’s compare it with the English language itself. First, let us take a basic use of language: Communication.

In the 21st century, you know the fast and easy way to communicate something to your friends with the modern day lingo. Now, let’s say you are into Victorian novels, and out of some whim, you end up talking in the highfalutin language of the Victorians. Both are English — both can be used to relay the information. But in the first case, you are will have a faster impact, while in the second one, your friends would spend minutes deciphering what you said, before answering back (let’s not forget the mocking as well).

Programming is a lot like that. Let’s take C++. It’s an easy language and if you do not do any grave mistake, then it will process your programs accurately. But the difference lies in something else. If you write simple programs in C++, you get fast results but write the complicated versions of the same program, and the processing will be painstakingly slow.

That’s why, when you are coding, you have to keep certain things in mind to give you an edge in your coding processes:

1. Using consistent indentations

There is no correct indentation. It depends on you completely. But you should use the indentation which you like consistently. Consistent use of the same indentation is the key. You may not know its value now, but once you start working on larger projects, consistency becomes essential.

2. DRY

The DRY principle is essential. It means — Don’t Repeat Yourself. If you are repeating the same code over and over again, chances are you are doing something wrong.

3. Deep Nesting

Do not rely on deep nesting too much. It makes the code long and hard to follow. Use other functions to make things shorter. For example, if you are using the If loop, then don’t rewrite the entire program under the If section but choose to write return to shorten it.

4. Limiting the length of the line

Avoid writing long lengths of a line. Rather write short ones. Don’t opt for writing horizontal line codes.

5. Folder and File Structure

Maintain a proper file or folder structure. Don’t cram all your writings in a single file. It would be impossible to follow and debugging would be terribly slow. Rather, maintain a folder where you keep all the files.

6. Conventions

Following proper naming conventions is essential for your coding to be simple. If you continue using random variables like Y1 or Z1 and then forget replacing them with meaningful ones, then it will just be more confusing.

7. Simplicity

What separates a professional coder from a beginner is simplicity. It’s not just learning to code but rather finding out the most simple way to code that matters. Don’t complicate stuff when you can reach outcomes using simple methods. Find out the best way out and use it.

Being a coder is cakewalk if you can just follow some small steps. Make it simple and easy and you will soon become the expert coder that you desire to be.

Best of luck.

NinjaPrep: Your ultimate partner to help you prepare for the interview process!

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The summer is here — it’s time to build the skills required to convert your dream interview. You are through with your semester exams, and while you may see your peers chilling, you, ideally, don’t want to do that. You have hustled hard throughout your college — now is the time to really pull up your socks.

As you might know, the interview process of any IT (or otherwise) company focuses mainly on two areas:

  • Aptitude/Reasoning
  • Technical expertise

We understand it might get difficult to deal with all that at once, along with your daily college routine. So, Coding Ninjas has come up with a solution. Our Ninja Prep series is designed to cater to the needs of each and every one of you — whether you need work to improve your technical skills to glide through the Personal Interviews, or whether aptitude is a tough nut for you to crack.

The pattern that has been designed for you is simple and special — it is based on the test the companies conduct. Here is the pattern that Ninja Prep follows:

  1. Logical Reasoning: Logic is the first thing that will be tested when you enter the interview room. Why is logic so important? Well, think about it from the point of view of a leader. Would you like anyone in your team who is not logical enough to develop solutions to difficult questions? No, right? That’s why you need to get your logical reasoning side active and running. Engage yourself with numbers, inductive reasoning and diagrammatic reasoning. Find patterns among unfamiliar items. Logical reasoning makes use of both your creative side and your mental acumen. Try solving 10 questions within 10 minutes and give your logical side a real boost.
  2. Quantitative Aptitude: Computer programming is useless without maths. Quantitative aptitude is the best way to test your mathematical reasoning. Yes, you will be dealing with numbers. But you have got this in the bag! Just make use of your logic, apply the mathematical principles and arrive at a suitable conclusion. You have got this. Practice makes one perfect in mathematics. Sweep through time, speed and distance, trigonometry and logarithms. To be a true master of mathematics, do 10 questions within 20 minutes.
  3. Programming Logic / Computer Fundamentals: Get those books out and start reading the fundamentals of programming. From arrays to object-oriented programming, from binaries to stacks and queues — brush up your computer basics. An interviewer needs to know that you have your foundation correct so that when everything is stripped down to the bare minimum, you have the ability to build things up from scratch. Never leave out the basics — they are core to any learning process. Take 15 minutes to get the ten questions done.
  4. Coding Questions: And finally, we arrive in the realm of programming. From Python to C++ to JAVA, which one do you specialize in? Connect with your inner coder — all the aforementioned tests come down to this final one. You need maths and logic to find the best solution and you need to go back to the basics at times to write the correct code. Be a master coder — practice coding as much as you can. Ensure that you can get these 2 coding questions done within 45 minutes.

So, pull your socks up and start studying. Evaluate yourself — check if you have got all of it right.

We have our test series up and running — it’s for you to come and prove your mettle. Are you ready? Visit us at codingninjas.in, or know more about the test series at: Ninja Prep.