Practicing Statistics Interview Questions in R
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Comece O Curso Gratuitamente4 horas16 vídeos50 exercícios3.839 aprendizesDeclaração de Realização
Crie sua conta gratuita
ou
Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.Treinar 2 ou mais pessoas?
Tentar DataCamp for BusinessAmado por alunos de milhares de empresas
Descrição do Curso
Are you job interview ready? You may know everything there is to know about your target company, but have you practiced the classic R statistical interview questions? If not, we have you covered. In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more. You’ll sharpen your skills using datasets including Parkinson’s disease data and gas prices. This course is purposely more challenging than a typical DataCamp course to make sure that when it comes to interviewing time you’re ready to confidently tackle any statistics interview question in R.
Treinar 2 ou mais pessoas?
Obtenha acesso à sua equipe à plataforma DataCamp completa, incluindo todos os recursos.- 1
Probability Distributions
GratuitoWant to increase your odds of acing your job interview? If so, brush up on your knowledge of probability theory. In this chapter, we'll roll dice and shoot baskets to explain probabilities using real-life examples.
Discrete distributions50 xpProbability functions100 xpBernoulli trials100 xpBinomial distribution100 xpContinuous distributions50 xpUniform distribution100 xpShape of normal distribution100 xpSample from normal distribution100 xpCentral limit theorem50 xpLaw of large numbers100 xpSimulating central limit theorem100 xp - 2
Exploratory Data Analysis
If the job description appeals to you review descriptive statistics before the interview. In this chapter, you will practice exploratory data analysis (EDA) using natural gas prices and data from a survey analysis.
- 3
Statistical Tests
March confidently into your job interview after reviewing confidence intervals. We'll review the t-test, ANOVA, and normality tests to prepare you for statistics-based coding questions.
- 4
Regression Models
Is your potential employer planning to test your R skills? Make sure you’re prepared and practice model evaluation beforehand. In this chapter, we will fit and evaluate linear and logistic regression models using various biomedical datasets. By the end of this chapter, you’ll be fully prepared to answer any question the interviewer throws your way!
Covariance and correlation50 xpCovariance by hand100 xpLinear relationship100 xpNonlinear relationship100 xpLinear regression model50 xpFitting linear models100 xpPredicting with linear models100 xpLogistic regression model50 xpFitting logistic models100 xpPredicting with logistic models100 xpModel evaluation50 xpValidation set approach100 xpRegression evaluation100 xpClassification evaluation100 xpWrapping up50 xp
Treinar 2 ou mais pessoas?
Obtenha acesso à sua equipe à plataforma DataCamp completa, incluindo todos os recursos.colaboradores
Zuzanna Chmielewska
Ver MaisActuary
O que os outros alunos têm a dizer?
Junte-se a mais de 15 milhões de alunos e comece Practicing Statistics Interview Questions in R hoje mesmo!
Crie sua conta gratuita
ou
Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.