Learn how to leverage different data science tools to get your first Data Science Job Search to get over here.
There’s no denying that looking for a job is difficult. Sending out resumes, rewriting cover letters, and the never-ending wait between applying and hearing back (or just being ghosted) is not enjoyable.
The good news is that it’s much easier now than it was before. You no longer need to physically mail or drop off letters; instead, you may complete many applications with a few button clicks. There are several specialised job boards, interview preparation tools, and other resources available to help you identify, apply for, and ultimately land your desired data science career.
Let’s talk about the greatest free resources available to help you acquire that data science job.
Kaggle – Real World Skills
It doesn’t matter how impressive your résumé is if you don’t have the necessary abilities. One of the most effective methods to learn data science is to work on your own projects.
It might be difficult to generate ideas for data science projects at times, which is where Kaggle can help. Kaggle contains a large collection of datasets and machine learning challenges, as well as responses and diverse techniques to tackling various topics.
5 Free Resources to Improve Your Data Science Job Search: https://www.kaggle.com/datasets.
It’s a great resource since it allows you to use your data science abilities in real-world circumstances, get feedback, and learn from the answers of others. Furthermore, winning a Kaggle tournament might be beneficial.
StrataScratch – Interview Prep
I may be slightly biassed here as the founder of StrataScratch, but I started the company because I observed a true problem: it’s difficult to prepare for data science interviews. So I began gathering interview questions from as many different firms as possible and categorising them based on difficulty, question type, and company. The end result is a database of over a thousand real-life interview questions, both coding and non-coding, along with solutions if you’re really puzzled.
In my experience interviewing for data science positions, it’s not only about having the abilities; it’s also about remaining calm and thinking through everything comes your way. As you might expect, it’s much easier to accomplish so if you’ve seen the interview question.
It’s a good idea to practise interview questions throughout your data science job search, not just when you have an interview scheduled. Practicing IRL interview questions offers you an idea of the challenges data science businesses are looking to solve, as well as the abilities you should work on developing or improving.
Coursera (In Audit Mode) – Gain Knowledge
Coursera offers highly pricey data science courses; however, you may obtain all of the same information for free simply by auditing the courses. This means you won’t receive a certificate of achievement, which may be really useful, but you will receive world-class lectures, videos, and guides for free.
Simply choose the course that has the material you are looking for and join up in audit mode. You may use this to strengthen your CV, gain skills for portfolio projects, or simply study a topic you are interested in.
