How to correctly assess and ideally respond to diverse interview questions for a Data Science job and related fields.
60+ possible interview questions on 3 different levels (easy-medium-hard) in the fields of Data Science, AI, Machine Learning, Deep Learning, Probabilities and Statistics.
Detailed solutions to all of those with visuals.
Some unique custom content that you won't find in any other course.
Basic knowledge of Data Science is preferred but not required.
Although this class is structured to work for all levels, from entry level to senior level, my main focus is for beginner students to excel and understand more complicated concepts that may appear in hard/medium difficulty questions.
This class has the purpose to teach you how to better your understanding of the job interview questions in Data Science related fields like AI/ML
We will go through 65 diverse interview questions that may appear during a real interview and I will explain why the interviewer asked the question, what does he want to test with it and how an ideal answer would look like.
Who this course is for:
Anyone interested in working in Data Science.
Anyone considering AI or Data Science as a future career path.
Anyone just curios what the requirements to work in AI really are.
Current Data Science or AI students that want to improve their performance during a real job interview.
I am a Computer Science graduate, former mathematical Olympiad contestant and problem-devising enthusiast. I am passionate about data science and machine learning, A.I., mathematics and mathematical modelling.
I am currently further pursuing my studies in Artificial Intelligence in UK.
My goal here is to teach some cool stuff about this field to beginners/wannabes.