Data Science Interview Preparation Guide

Interview questions and answers in data science, statistics, machine learning, deep learning, culture fit and SQL.
4.26 (131 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Science Interview Preparation Guide
2 018
students
4 hours
content
Jul 2024
last update
$74.99
regular price

Why take this course?

🎓 Course Headline:

2024 Data Science Interview Preparation Guide: Master Interview Questions and Answers in Data Science, Statistics, Machine Learning, Deep Learning, Culture Fit, and SQL!


Course Description:

Are you aspiring to break into the world of data science, where demand continues to soar and job satisfaction is at an all-time high? With data scientists crowned as America's best job for the third year in a row by Glassdoor, there's no better time than now to embark on this exciting career journey. 📈💰

Join Dr. Gary Whitecourse, a Senior Data Scientist at a leading tech company and former PhD candidate in Computer Science, as he guides you through the labyrinth of data science interviews with his comprehensive 2024 Data Science Interview Preparation Guide. This course is packed with over 150+ critical interview questions and expertly crafted answers across essential domains such as machine learning, neural networks and deep learning, statistics, practical experience, big data technologies, SQL, computer science, culture fit, interviewer-focused queries, and brainteasers.

Whether you're a beginner or an advanced professional looking to sharpen your skills, this course is designed to give you the competitive edge needed to ace your next data science interview. 🎯


What Questions Will You Learn The Answer To?

  • Bias-Variance Tradeoff: Understand the fundamental concept that every model is both biased and variable, and learn how to find the right balance.
  • Evaluating Algorithms on Unbalanced Data: Grasp the techniques to evaluate a model effectively when your dataset skews one way or another.
  • Gradient Descent vs. Stochastic Gradient Descent (SGD): Know when to apply GD over SGD and vice versa for optimal performance in your data science tasks.
  • Segmentation CNNs Structure: Dive into the architecture behind convolutional neural networks designed for image segmentation, including the encoder-decoder style.
  • Softmax Non-linearity Function: Learn why Softmax is the go-to choice as the last operation in most neural network models and what it signifies for your model's predictions.
  • Probability with a Biased Coin: Challenge your understanding of probability with this classic problem that tests both intuition and mathematical reasoning.
  • Statistical Probability of Cancer Given a Positive Mammogram: Unravel the complexities of statistical inference when dealing with medical screening tests and their associated probabilities.
  • SQL Query for Second Highest Salary: Master advanced SQL queries that are often asked in data science interviews to manipulate and retrieve specific datasets.
  • Time Complexity of Searching an Unsorted Array: Understand the average, worst, and best-case scenarios when searching through unstructured data.
  • Cultural Fit Questions: Prepare to articulate why you want to work at a particular company and how your values align with its culture.
  • Random Number Generation with a Die: Learn the clever techniques that can help you solve problems with limited resources, enhancing your problem-solving skills.

About the Instructor:

Dr. Gary Whitecourse is not just an academic; he's a seasoned data science practitioner with over 5 years of experience teaching at the university level and currently holds a Senior Data Scientist position at one of the tech industry's leading companies. His unique blend of theoretical knowledge and practical expertise makes him the ideal mentor to guide you through the complexities of data science interview preparation. With his recent transition from academia to industry, Dr. Whitecourse brings a wealth of insights that will be invaluable to your success in the field of data science. 📘👩‍💻

Course Gallery

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3500298
udemy ID
14/09/2020
course created date
21/01/2021
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