Data Science Interview Questions Python

Ace the Data Science Interview

Cracking the Data Science Interview

Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics.

Python Interview Questions

Prepares yourself for coding related interview questions DESCRIPTION The book is written assuming that the reader has basic knowledge of Python programming. A brief introduction is provided for all relevant topics. Every topic is followed by all types of possible questions that an examiner or interviewer can ask the reader. The questions are arranged chapter wise so that it is easy for the reader to move from easy to complex questions. KEY FEATURES Strengthens the foundations.ÊÊÊÊÊÊ Lists down all important points that you need to know related to various topics in an organized manner. Prepares you with questions related to Algorithms and Data structures. Prepares you for theoretical questions. Provides In depth explanation of complex topics and Questions. Focuses on how to think logically to solve a problem. Follows systematic approach that will help you to prepare for an interview in short duration of time. Prepares you to think logically and answer interview questions. WHAT WILL YOU LEARN Python Basics, Data Types and Their in-built FunctionsÊ Operators, Decision Making and Loops User Defined Functions, Classes and Inheritance, Files Algorithm Analysis and Big-O, Array SequenceÊ Stacks, Queues, and Deque, Linked ListÊ Recursion, Trees. Searching and Sorting WHO THIS BOOK IS FOR Graduate,ÊPost graduate, Academicians, Educationists, Professionals. Table of Contents SECTION I : PYTHON BASICS Introduction to PythonÊ Data Types and Their in-built FunctionsÊ Operators in Python Decision Making and Loops User Defined FunctionsÊ Classes and InheritanceÊ Files SECTION II: PYTHON DATA STRUCTURE AND ALGORITHM Algorithm Analysis and Big-OÊ Array SequenceÊ Stacks, Queues, and DequeÊ ÊLinked ListÊ ÊRecursion Ê ÊTrees ÊSearching and Sorting