The ultimate guide to data science interviews. Developed by FAANG engineers, it covers Python, algorithms, ML concepts, and interview questions. Get interview-ready in just a few hours.

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This course will increase your skills to crack the data science or machine learning interview. You will cover all the most common data science and ML concepts coupled with relevant interview questions.
You will start by covering Python basics as well as the most widely used algorithms and data structures. From there, you will move on to more advanced topics like feature engineering, unsupervised learning, as well as neural networks and deep learning.
This course takes a non-traditional approach to interview prep, in that it focuses on data science fundamentals instead of open-ended questions.

In all, this course will get you ready for data science interviews. By the time you finish this course, you will have reviewed all the major concepts in data science and will have a good idea of what interview questions you can expect.

Data Science Interview Handbook

A linked list consists of links grouped in a chain. Links are nodes. Each node consists of a key (data) and a next pointer. The next pointer points to the next node in the chain.


<h2>List Operations</h2> 

We can perform the following operations on list:

<li>PushLeft: Push the data element to the left.

<li>PopLeft: Extracting a data element from the left.
<li>KeyLeft: Get the data element from left without removing it.

<li>PushRight: Push the data element to the right.

<li>PopRight: Extract the data element from the right.

<li>KeyRight: Get the data element from the right without removing it.

<li>Find : Determine if the element exists in the list.

<li>isEmpty : Returns if the list is empty or not.

Are You Ready to Become a Data Scientist?

Python Basics

Python Libraries

More Data Science Tools

Data Structures and Algorithms - I

Data Structures and Algorithms - II

Statistics and Probability

Feature Engineering

Basics of Machine Learning

Regression

Classification

Unsupervised Learning

Advanced Topics in Machine Learning

Conclusion

Linked List

List Operations