SQL Data Science interview QuestionsHere we have 150+ SQL interview questions which are asked in most of the Data Science and Data Analyst interviews.You can target to solve the questions first and then go through the solution of ...
Continue readingMoonfrog Data Science Interview Questions | Day 34
Day 34 - Moonfrog Data Science Interview QuestionsMoonfrog Labs is a Bangalore based start-up that makes mobile-first games for masses. It was established in 2013 with a total funding of $16M.Moonfrog concentrates a hell lot on Statistics and Machine Learning ...
Continue readingSAP Data Science Interview: Most Asked Questions and Expert Tips
Company: SAPDesignation: Data ScientistYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: 10 LPA - 25 LPASAP, a German multinational software corporation, is a global leader in enterprise software solutions. ...
Continue readingOracle Data Analyst Interview: Most Asked Questions and Expert Tips
Company: OracleDesignation: Data AnalystYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: 15 LPA - 30 LPA Oracle Corporation, headquartered in Redwood Shores, California, is a global ...
Continue readingHSBC Business Analyst Interview: Most Asked Questions and Expert Tips
Company: HSBCDesignation: Business AnalystYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: Competitive, based on experience HSBC, a multinational investment bank headquartered in the United Kingdom, operates ...
Continue readingInMobi Data Science Interview – Most Asked Questions and Expert Tips
Company: InMobiDesignation: Data ScientistYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: Competitive, based on experience InMobi, an Indian multinational mobile advertising technology company, is a global ...
Continue readingZomato Data Analyst Interview: Most Asked Questions and Expert Tips
Company: ZomatoDesignation: Data ScientistYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: Competitive, based on experience Zomato, a leading restaurant aggregator and food-delivery platform, connects millions of ...
Continue readingOLA Data Analyst Interview: Most Asked Questions and Expert Tips
Company: Ola CabsDesignation: Data AnalystYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: Competitive, based on experience Ola Cabs, one of India’s leading ride-hailing platforms, operates in ...
Continue readingMckinsey Data Analyst Interview: Most Asked Questions and Expert Tips
Company: McKinsey & CompanyDesignation: Data AnalystYear of Experience Required: 0 to 4 yearsTechnical Expertise: SQL, Python/R, Statistics, Machine Learning, Case StudiesSalary Range: 15 LPA - 40 LPA McKinsey & Company is a global leader in management consulting, renowned for its ...
Continue readingJPMorgan Chase Data Analyst Interview: Most Asked Questions and Expert Tips
We know that each domain requires a different type of preparation, so we have divided our books in the same way:Our best seller:✅Become a Full Stack Analytics Professional with The Data Monk’s master e-book with 2200+ interview questions ...
Continue readingHow to learn Python for Data Science?
Python is one of those languages which is present in almost all of the computer science domain, you can use it in Web Development, Software Development, Data Science, and even in building games.Here we will talk about, how ...
Continue readingBookMyShow Data Science Interview Question – Updated 2022
Today is Day 24 and we will look into the interview process of Book My Show. The following BookMyShow Data Science Interview Question will help you understand the difficulty level of the interview.BookMyShow Data ...
Continue readingBig Basket Data Analyst Interview Questions – Updated 2022
Day 24 - Big Basket Data Analyst Interview QuestionsBig Basket is the largest online grocery store of India and in companies like BB, the work of a Data Analyst is very vital. Following Big Basket Data Analyst Interview ...
Continue readingSwiggy Data Analyst Interview Questions – Updated 2022
Day 23Swiggy Data Analyst Interview QuestionsThe number of rounds in Swiggy depends on the team to which you have to report. In general Swiggy emphasises on SQL a lot. These Swiggy Data Analyst Interview Questions will help you ...
Continue readingLinear Regression Interview Questions
Today is Day 19 and we will clear all the Interview Questions related to Linear Regression. Linear Regression Interview Questions is the first part of the three days series. All the questions of today will revolve around the ...
Continue readingFlipkart Business Analyst Interview Questions
Today is Day 18 and we will look into Flipkart Business Analyst Interview Questions. Flipkart mostly hires for Business Analyst and Senior Business Analyst position, you can try to get into the Data Science domain after entering into ...
Continue readingBox8 Data Analyst Interview Questions
We have covered few interview Questions asked in Amazon, Myntra, and some of the case studies - You can get the complete list of Daily Quiz here http://thedatamonk.com/daily-quiz/Today is Day 15 and we will look into Box8 ...
Continue readingGuesstimates for Data Science Interviews
Today is Day 14 and we all sharing 5 solved Guesstimates for Data Science Interviews. Case Studies and Guesstimates are asked in almost every Data Science interviews. Case Studies checks the business acumen of a candidate whereas Guesstimates ...
Continue readingMyntra Data Science Interview Questions – Updated 2022
Myntra Data Science Interview Questions Today is Day 13 and we will deal with the recruitment process of MyntraMyntra Data Science Interview Questions given ...
Continue readingDaily Quiz – Updated 2022
This is the Daily Data Science Quiz to make a career in Data Science in 30 days. Each Day we cover 10 questions, you can signup to make your profile and then start answering. Following are the Daily ...
Continue readingAmazon Data Science Interview Questions – Updated 2022
Today is Day 12 and from today onwards we will take one company at a time and will try to solve 10 questions asked in these interviews.We will start with Amazon Data Science Interview Questions.The questions of Day ...
Continue readingSQL Intermediate interview questions
Today is Day 11 and we have SQL Intermediate Interview Questions for Data Science interviews.There are two parts of this article, the first one is, as usual, the daily quiz where we have 10 SQL intermediate interview questions ...
Continue readingR interview Questions
Today is Day 10 and we will try to solve the top 10 R Interview questions. These questions will revolve around statistics and algorithms with case studies. Try to answer these R interview Questions Before ...
Continue readingMachine Learning Interview Questions – Updated 2022
Today is Day 9 and we will try to solve the top 10 Machine Learning Interview questions. These questions will revolve around statistics and algorithms with a couple of questions
Continue readingPython Interview Questions – Updated 2022
Today is Day 8 and we will be taking up 10 Python interview questions. The below python interview questions will mostly be around definitions, parameters, etc.You need to understand that in general there is a difference between Data ...
Continue readingARIMA interview questions | Day 7
Today is Day 6 and we will have 10 ARIMA interview questions for you. These ARIMA interview questions are of intermediate level and are asked very often in the interviews
Continue readingForecasting Interview Questions | Day 6
Forecasting is one of the popular domains in Data Science. If you are exploring Data Science then you should definitely look into this domain.Today is Day 6 and we will have 10 Forecasting interview questions for you. These ...
Continue readingMachine Learning Interview Questions | Day 5
For Day 5 we will concentrate on Machine Learning Interview Questions. The following 10 questions are mostly asked by an interviewer to know the level of clarity in basics of ML.We have covered 10 questions on SQL, Statistics, ...
Continue readingStatistics Interview Questions
Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer will rarely ask you a very mathematical question. But, statistics interview questions will have lots of small but ...
Continue readingJoins in SQL | Data Science Quiz | Day 3/30
We will concentrate on Joins in SQL on the third day of our quiz. Data Science has a lot to do with SQL and in your DS interviews, Joins in SQL will occupy a lot of time
Continue readingSQL Interview Questions – Data Science Quiz – Day 2
SQL interview questions - Day 2 of the quiz will have most of the questions from SQL Bread and Butter of a Data Scientist/Analyst
Continue readingData Science Interview Questions
We will be doing Data Science interview questions on a daily basis. So you will be receiving 10 Data Science interview questions for the next 30 days on topics like SQL, Python, Case Studies, Machine Learning, Statisti
Continue readingStatistics Interview Questions for Data Science
Here we have a set of 17 statistics interview questions that you should understand before your data science interviews. These are very basic Statistics questions which will check your elementary knowledge
Continue readingHow to make a career in Data Science? Data Science Preparation
People have always been curious about how to make a career in data science or how to enter this domain after an experience of, say 3-4 years.We will help you in providing Data Science preparation strategyShould I do ...
Continue readingWhat is Stationarity in Time Series?
Stationarity in Time SeriesThe first step for any time series analysis is to make the data set stationary. Everyone knows that stationarity means a near to constant mean and variance across time.Stationarity in Time Series
Continue readingLabel Encoder and One Hot Encoding
In our datasets we can have any sort of data, we can have numbers, categories, texts, or literally anything. If you have ever created any model , you already know that you can't use Textual Data to train ...
Continue reading300+ Data Science Interview Questions
Probably you have a lot of information about what to study and not to study for a Data Science job. But, when you start applying to a DS job, then you will realize that the whole process contains ...
Continue readingInterview Questions – Flipkart, Myntra, Oyo Rooms, Tredence, and Meredith India
Data Science is one of those domains which are less explored in colleges but is in high demand in the I.T. sector.The combination of Maths and Technology makes it even more interesting. I have been working as a ...
Continue readingJanta Hack – Analytics Vidhya R code
install.packages("stringr")library(stringr) data = read.csv("C:/Users/User/Desktop/Hackathon/JantaHack/train.csv")head(data)str(data) data$product <- str_count(data$ProductList,";")+1head(data)data$hours <- with(data, difftime(endTime,startTime,units="hours") )data$min <- with(data, difftime(endTime,startTime,units="mins") )data$x <- as.double(data$endTime - data$startTime, units = "mins") table(data$product)hist(data$product) table(data$gender)count <- table(data$gender,data$product)barplot(count)str(data)head(data$ET)head(data$endTime)
Continue readingMissing Value Treatment – Mean, Median, Mode, KNN Imputation, and Prediction
Missing Value treatment is no doubt one of the most important parts of the whole process of building a model. Why?Because we can't afford to eliminate rows wherever there is a missing value in any of the columns. ...
Continue readingStory of Bias, Variance, Bias-Variance Trade-Off
Why do we predict?We predict in order to identify the trend of the future by using our sample data set. Whenever we create a model, we try to create a formula out of our sample data set. And ...
Continue readingMulticollinearity in Simple Terms
We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly linearly related then it's called multicollinearityExample - Age and Selling price of a CarEducation and Annual IncomeHeight and ...
Continue readingGRE Verbal | Barron’s 800 Destroyed | Day 10
We are already good with 220 words, lets's pass that 250 mark. All the words given below are directly from Barron's 800 most frequent words. 251. abeyance - temporary suspensionIf you have ever created an ...
Continue reading5 Most Important SQL questions for your Data Science Interview
SQL is the bread and butter of an analyst. You can't survive in the Data Science industry with a grip on this 'easy-looking' query language. I have been interviewed for more than 30 companies in the past 3-4 ...
Continue readingCross Validation and varImp in R
I was onto our next book - Linear,Ridge, LAASO, and Elastic Net Algorithm explained in layman terms with code in R , when we thought of covering the simple concepts which are quite helpful while creating models.Cross Validation ...
Continue readingRidge vs LASSO vs Elastic Net Regression
Ridge and LASSO are two important regression models which comes handy when Linear Regression fails to work.This topic needed a different mention without it's important to understand COST function and the way it's calculated for Ridge,LASSO, and any ...
Continue readingLinear, LASSO, Elastic Net, and Ridge Regression in Layman terms (R) with complete code – Part 1
Linear, LASSO, Elastic Net, and Ridge Regression are the four regression techniques which are helpful to predict or extrapolate the prediction using the historic data. Linear doesn't have any inclination towards the value of lambda.LASSO ...
Continue readingOne Hot Encoding – Feature Engineering
So, I just started solving the latest Hackathon on Analytics Vidhya, Women in the loop . Be it a real-life Data Science problem or a Hackathon, one-hot encoding is one of the most important part of ...
Continue readingFeature Engineering in Data Science
Have you ever wondered why two different people gets different accuracy while using the same algorithm?We all know that XGBoost can help us get a very good result in our Hackathons, but then also only few people achieve ...
Continue readingCorrelation and Collinearity explained in layman terms
Correlation tells you have two numerical variables relate to each other. It will tell you whether data points that have a higher than average value for one variable will also likely have a higher than average value for ...
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