Top 3 courses to Crack Data Science and Machine Learning interviews in 2023

Hello, if you are preparing for Data Science or Machine Learning interviews and looking for the best resources for preparation then you have come to the right place. I Am going to share the best online courses you can join to prepare for Data Science and Machine Learning interviews. 

Data science and machine learning are two developing technologies. Today in 2023, there is a huge job market for those individuals who are well-acknowledged in data science and machine learning. But these two technologies are complex and require a lot of effort and time.

It is not easy to master data science and machine learning. Data science covers an extensive amount of domains. It includes business analysis, data visualization, data analysis, financial analysis, image processing, and more. 

You have to choose the domain. Machine learning is also referred to as part of data science.

When it comes to your Data Science or Machine Learning interview preparation, you will no doubt find lots of good material around how different machine learning models work, which algorithms to use when, and so on. But, it’s not easy to find information on how to approach a Machine Learning problem from a system design perspective. 

In the Machine Learning interview, especially if you’re more experienced like 3 to 5 years experienced, you’ll be most likely be given open-ended problems and will be expected to build end-to-end machine learning systems to solve those problems. System design is arguably the most important part of your Machine Learning interview and is a determining factor in your hiring ‘level’, which can make a big difference in your package and salary. 

Companies, both big and small likes to hire people that can confidently talk through designing systems and articulate the trade-offs they’re making.

Additionally, as more and more companies inject Machine Learning into their products, even if you just want to excel at system design interviews, it’s valuable to speak about ML functionality as more than just a black box. Having that ability is a surefire way to impress your hiring manager.

Machine learning is also a vast domain.

Artificial intelligence, python, linear algebra, statistics, calculus, etc are required for machine learning. Well, it is a complicated technology but it is worth learning. As mentioned earlier, there is a huge market for it. But the interviews are quite tough.

One should properly prepare before appearing for a data science and machine learning interview. In this article, we will list the top five courses that will help you prepare for data science and machine learning interview.

3 Best Data Science and Machine Learning Interview Resources
Watthour wasting any more of your time, here is a list of the best online courses to prepare for the Data Science and Machine Learning interview. This contains the best courses from Udemy, and Educative, one of the best platforms to prepare for tech interviews. All these courses are very affordable and trusted by thousands of developers around the world to prepare for Machine learning interviews.

This is a best-selling course at Udemy for data science interview preparation. It is not only about interview preparation though, but it is also a guide for those who want to start a career in data science. In this course, you will learn how to create a data science resume. 

Requirements : 
  • An understanding of Probability and Statistics.
  • Programming Experience in either Python or R. 
  • Experience in SQL. 
  • An understanding of Machine Learning Algorithms.

It has several interviews and practice questions that will surely boost your confidence for the actual interview. It is a four hours long course. Only those who have a good understanding of data science and machine learning should join this course. 

This is one of the most popular machine learning interview preparation courses at Educative, a new online learning platform that provides interactive text-based courses and allows you to run code right from your browser. 

In this course, the instructor focuses on the important concepts which are required to crack a machine learning interview. It is inspired by real-world machine learning interviews. 

It covers the most popular interview questions asked at big tech companies. Instead of answering trivia-style questions, you will work through open-ended problems to design real-world machine learning systems. 

Requirements : 

  • Basic understanding of python. 
  • Basic knowledge of machine learning.
It is an intermediate-level course and you need to have good knowledge of Machine Learning. By the end of this course, you will be armed with the knowledge to excel in your ML interview.

By the way, you can either join this course individually or you can take an educative subscription for just $14.9 per month (recommended) to get access to their 250+ high quality, text-based, interactive courses to learn key skills for coding interviews, software development, and technology.

This is a brand new course at udemy for data science and machine learning preparation. In this course, the instructor goes through different SQL interview questions and mock interviews, explaining each of them. 

These questions are selected very carefully by the instructor and resemble the actual interview questions. Choose this course if you want to test your SQL knowledge for data science. You will also learn Tina’s 5-step framework to acing your SQL interview

Requirements :
  • Knowledge of data science and machine learning.
  • Knowledge of SQL  
The total video content of this course is nearly 2.5 hours and this is a great resource to check your SQL skills and level them up before your Data Science and Machine Learning Interviews. 

That’s all about the best online courses to prepare for data science and Machine Learning interviews. So these are the 3 carefully selected courses for those who want to prepare for a data science and machine learning interview. Some of these courses have technical interview questions and hands-on while some are tutorials. Go through each course and choose accordingly. (*)

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