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Data Science and ML

Ghosted After an Interview? 5 Resources to Help You Bounce Back

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Once you have soaked up all the knowledge, the next step is to find your dream job. Just when you thought you got the hard part out of the way, you’re refinding your resume, applying for jobs and going through interview after interview.

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We’ve all been there — it can get exhausting.

The key to smashing interviews is being as prepared as possible. When you know that you gave 100% because you put the work in to test your skills and knowledge and went that further mile to learn about the culture of the company — not hearing back from a company doesn’t feel as bad.

Preparation is key. In this blog, I will go through a variety of resources to help you bounce back and truly prepare for an interview.

 

Coding Interview Preparation

 
Link: Coding Interview Prep by Meta

If you’re applying for jobs such as a data scientist, machine learning engineer, software engineer, etc. The majority of your skill set will contain technical skills such as coding. From understanding machine learning algorithms to debugging code. You want to ensure that you know the ins and outs and are prepared for any question that may pop up in a technical skills test.

In approximately 11 hours, you will go through the different aspects of a coding job interview, from problem-solving to computer science fundamentals. By the end of this course, you’ll know how to communicate during the interview as well as the different successful strategies to ace your interview.

You will dive into pseudocode, the fundamentals of computer science, capabilities of data structures and review them in the context of coding interviews. Learn about the common approaches when it comes to algorithms, and how to visualise them and combine new and previously learned coding patterns to solve problems.

 

Data Analyst Interview

 
Link: Data Analyst Career Guide and Interview Preparation

If you are going down the data analyst route, your coding questions may be slightly different to other roles. This course is offered by IBM, which is part of the IBM Data Analyst Professional Certificate. You will get an in-depth guide on the careers in data analysis and how to prepare for interviews.

You will learn about the role of a data analyst and the different career path options you can choose from to align with how you can build a foundation for your job search, from researching job listings, writing a resume, and making a portfolio of work. The course will summarise what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews. You will then dive into how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.

 

Software Engineer Interview

 
Link: Mastering the Software Engineering Interview

Part of the Object Oriented Java Programming: Data Structures and Beyond Specialization, this course offered by UC San Diego will have you ready for your software engineer interview in approximately 20 hours.

You know all the technical knowledge of software engineers, but you need to land that dream job. The key to acing your interview is how well you can solve new technical problems and communicate during interviews. The best way to smash this is practice. Practice till it’s perfect. This course consists of 6 modules with support from Google’s recruiting and engineering teams with tips, examples, and practice opportunities that will help you grasp the interview stages with a lot of tech companies.

 

JavaScript Interview

 
Link: JavaScript Interview Challenges

Let’s say you’re going for a role that requires you to be a JavaScript specialist. You need to know everything about JavaScript and nothing else. This course offered by Scrimba, which is part of their Become a JavaScript Developer Specialization will give you 2 hours of essential tech interview preparation. You will practice all the solving problems you need to succeed in a front-end coding interview.

 

Soft Skills

 
Link: People and Soft Skills for Professional and Personal Success Specialization

We’ve spoken about hard skills such as coding, but it is important to remember the power of soft skills in an interview. Soft skills will make the interviewer feel more connected to you. This will determine if you are a right fit for the company – the icing on top of the cake in an interview.

In this specialisation course offered by IBM, you will learn how to create and deliver presentations that will leave a lasting impact on your audience and communicate with your peers to build your reputation and increase your eminence. Over the weeks, you will demonstrate active listening skills and questioning styles to explore issues, enhance understanding, and resolve problems.

 

Wrapping Up

 

The interview stage is hard. However, the key is to practice, practice and practice till everything is perfect – or you at least feel you’re at 100%.

 
 

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.

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