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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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Q1. What is a Sample? A. A data sample is a set of data collected and the world selected from a statistical population by a defined procedure. The elements of a sample are known as sample points, sampling units or observations. Q2. Define Population.

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I hope you are already done with the basic concepts of regression and have covered our previous post on Adaptive Boosting. Nai padhe, toh padh lo yaar..easy haiRemember, If you want to participate in a Hackthon or ...

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What are the different Analytic functions available in SQL Server? FIRST_VALUE(): Returns the first value in an ordered set of values. If Partition By clause is specified then it returns First Value in ...

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How many regression techniques do you know?Linear Regression?Logistic Regression?These two are the building blocks of your Data Science career, there are N number of Regression models, but we will try to cover the top 5 models which can ...

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Numpy is one of the basic and most used packages in Python. It is mostly used for scientific computing.Most important Data Type in Numpy is Array.import numpy as npAnd you have installed the numpy package in your ...

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The complete Machine Learning journey can be penned down in 4 steps:-1. Exploratory Data Analysis - This is the first thing you do when you get a dataset. Before jumping on to building models, you need to ...

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Python is one of the most preferred language for Data Science. It is needless to discuss the pros and cons of Python over any other language(R/SAS/Java/C).If you are already comfortable with any other language then it's good, but ...

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We have already covered queries on joins, aggregate functions, sub-queries, running sum, etc.This article will concentrate on the theoretical part of SQL which are less asked but are important to know about1.What are the different types of statements ...

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Advance concepts mostly involves knowledge of window functions, cleaning the data format, working with different date formats, etc. Before proceeding, you should actually go through different ways of casting data types and other widows functions.1.Create the cumulative revenue ...

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Structured Query Language is the base of your Data Science career. You will always be surrounded with SQL queries and it's very important to understand the basics of the language.We will not waste time on defining terminologies associated ...

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We all have a fair idea about the supply chain. In a layman term, we can say that the supply chain analytics helps in improving the operational efficiency and effectiveness by providing "data-driven" decisions at the operational and ...

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Data Science = Maths+Code+Business UnderstandingMany a time you come across different terminologies which sounds confusing. We will try to make them easier for you to understand and to remember 1.Data Scientist vs Data AnalystData Scientist ...

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Data Science is a combination of Statistics and Technology. In this article, we will try to understand some basic terminologies in Layman's language. Suppose I run a chain of Pizza outlets across Bangalore and have around 500 delivery ...

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List of the books we have on Amazon:1. The Monk who knew Linear Regression (Python): Understand, Learn and Crack Data Science Interview2. 100 Python Questions to crack Data Science/Analyst Interview Complete Linear Regression and ARIMA Forecasting ...

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