Cracking Data Science Interview

In this comprehensive Udemy course, "Cracking the Data Science Interview: Essential Techniques and Practice Problems," you will learn everything you need to know to ace your next data science interview. Whether you are a fresh graduate or an experienced professional looking to switch careers, this course has something for everyone. The course is divided into several chapters, with each chapter focusing on a different topic that is crucial for data science interviews.

The topics covered include statistics, probability, linear algebra, programming, machine learning, and more. Each chapter begins with an overview of the topic, followed by a set of interview questions that are commonly asked in data science interviews. These interview questions will help you prepare for your upcoming interviews and gain a better understanding of the types of questions you may encounter.

After you have reviewed the interview questions, you will move on to the practice problems section of the chapter. Each topic has 10-20 practice problems that are designed to help you reinforce your understanding of the concepts covered in the chapter. The problems are challenging but manageable, and they will help you build your confidence in your ability to solve real-world data science problems.

Afterwards assignment problems is given to you , solution is provided after submitting the particular progress, so that it can enhance you thinking process more faster. After completing the chapters, interview questions and practice problems and assignments, You will have tips and trick video. In this video you will know more about materials for particular chapters or topics , related projects and resources like most prominent peoples guidance video and books you have to follow.