## 10 Best Books for Data Engineering with pdfs

Hey? are you tired of searching books for Data Engineering ?? If yes, then you have landed in the right place. We will talk about the Best 10 books for Data Engineering. Books are considered more accurate, more careful, and…

## 10 best time series projects to practice along with datasets

Are you well versed with time series concepts? If yes, wonderful. Now, it’s time to put your knowledge into action and create some amazing projects. In this post, We’ll be discussing the 10 best time-series projects that will not just…

## Learn Git in 10 easy steps

In this tutorial, we are going to discuss what is Git, why do people use it in industry, how to learn git in just 10 easy steps and what is the workflow for Git. Git is the most frequently used…

## Frequently Asked Interview Questions on Data Analysis

This post mainly focuses on interview questions asked in the data science interview. The primary purpose of this post is to help you to understand and learn concepts through questions. So let’s prepare together! 1. Why do we need Normalization?…

## Feature Selection using Genetic Algorithm

You might have heard “Genetic algorithm” in biology, but ever wondered how this algorithm is applied to data science? For a large dataset (where the number of features is huge), it’s really difficult to select features only through the filter,…

## Let’s understand Chi-Square test in simple way

The Chi-Square test provides an important statistical measure for the relationship between categorical variables. Table of Content Important terms to understand chi square test Need of chi square test Assumptions taken before applying chi square test Statistical functions used to…

## Data Analysis (Part-2): Data Visualization

Through data wrangling, we have seen basic pre-processing methods to make the data in usable form. So just think, what should be our next step..? Exploratory Data Analysis In simple terms, every process gives insights into data. Now questions is,…

## Data Analysis (Part-I): Data Wrangling

Let’s take first step towards journey of being a data scientist.. For any manipulation, we need to understand the data first. Basically, data is of two types: Unstructured: A form of data, where data points are not in a particular…