Statistics

Investigating a Dip in Key Metrics | Data Science Product Case Interview Question A Framework to Unraveling the Causes and Ace the Data Science Business Case Interview

Investigating a Dip in Key Metrics | Data Science Product Case Interview Question

In data science interviews, encountering a dip in a key metric is a common scenario that can test your problem-solving skills. Today, we’re going to explore a systematic framework that will empower you to investigate and understand the underlying causes behind such dips in critical metrics. So tighten your seatbelts as we embark on a …

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Top 12 Statistical Concepts Data Science Interview Questions Statistical concept definition and Python simulation code

Top 12 Statistical Concepts Data Science Interview Questions

Statistical concepts are commonly asked in data science and machine learning interviews. In this tutorial, we’ll delve into the top 12 interview questions related to these concepts and provide guidance on how to effectively answer them. The Python code for simulating the statistical concepts will also be provided where is applicable. Resources for this post: …

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Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning

The support vector machine (SVM) model is a frequently asked interview topic for data scientists and machine learning engineers. In this tutorial, we will talk about the top 7 support vector machine (SVM) interview questions and how to answer them. The 7 questions are: Resources for this post: Let’s get started! Question 1: How does …

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What is a p-value? | Data Science Interview Questions and Answers

What is a p-value? | Data Science Interview Questions and Answers

Welcome to GrabNGoInfo! What is a p-value is one of the most commonly asked questions in a data science interview. In this tutorial, you will learn: Resources for this post: Let’s get started! General Strategies Firstly, let’s talk about the general strategy for answering a definition type of interview question. How to explain p-value to …

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How to detect outliers | Data Science Interview Questions and Answers

How to detect outliers | Data Science Interview Questions and Answers

Welcome to GrabNGoInfo! In this tutorial, we will talk about how to answer the data science interview question about outlier detection. The tutorial covers the general strategies of answering the question, and provides example questions and answers. Resources for this post: Strategies The strategy for the outlier detection question is divide and conquer. We divide …

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Correlation vs Causation | Data Science Interview Questions and Answers

Correlation vs Causation | Data Science Interview Questions and Answers

Welcome to GrabNGoInfo! Correlation vs. causation is one of the most commonly asked data science interview questions. In this tutorial, you will learn: Resources for this post: Let’s get started! Correlation vs. causation Data Science Interview Question The interview question of correlation vs. causation is usually asked with a specific example. For instance, the interviewer …

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Causal Inference One-to-one Matching on Confounders Using Python and R. Using R Matching package for causal inference with Mahalanobis Distance Matching (MDM) in Google Colab notebook.

Causal Inference One-to-one Matching on Confounders Using Python and R

Causal inference is the process of determining the effect of a treatment. The causal impact can be evaluated by randomized experiments or observational studies. In this tutorial, we will talk about how to use Mahalanobis Distance Matching (MDM) for causal inference using the R package Matching. You will learn: Resources for this post: Let’s get started! …

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Causal Inference Logit Propensity Score Matching (PSM). How can Python and R users use the R Matching package for causal inference with logit Propensity Score Matching (PSM)?

Causal Inference Logit Propensity Score Matching (PSM)

How can Python and R users use the R Matching package for causal inference with logit Propensity Score Matching (PSM)? Causal inference has well-established packages in R, but not in Python. This tutorial provides an example of using R packages for causal analysis in a Python notebook. In this tutorial, you will learn: Resources for …

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What is a t-test? Data Science Interview Questions and Answers T-test definition, application, interpretation, assumptions, and alternatives when assumptions are violated

What is a t-test? Data Science Interview Questions and Answers

T-test is one of the most commonly asked topics in a data science interview. In this tutorial, we will talk about how to answer the two interview questions for a data scientist position: Let’s get started! Resources for this post: T-test Definition When answering the question about the t-test definition, we would like to cover …

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