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Welcome to The Data Monk

The Data Monk is created to give you most of the “must-have” resources to make you believe that Analytics is easy and FUN. We have more than 30 ebooks on Amazon :)

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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)

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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 ...

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