Nowadays, you have seen everyone talking about learning python for data science and data analysis. Here in this post, we will see how to set up Python Development Environment and packages especially for Data Analysis. Why Python? Python is an open source, easy to pick up, general programming language and it doesn’t matter whether you’re […]

## 10 Basic Python fundamentals for Data Scientist aspirants and Data Analysis

When you want to learn Data Science or Data Analysis, you have to learn either Python or R and after that using basic python/R functions with other statistical packages you can easily start analysing data and get some insight from your data. As i too have both the options, i chose Python over R as […]

## Using List and Dictionary Comprehensions in Python

List Comprehensions and Dictionary Comprehensions in Python are the important expressions you must know. Using comprehensions in the code will help us in making our code short and precise. Comprehensions in Python can achieve the output with a single line of code. Let’s consider an example below where we used a for loop to multiply […]

## Computing Bootstrap Replicate from Bootstrap Sample using Python

The basic idea is that instead of literally repeating the data acquisition process over and over again, we can simulate those repeated measurements using python. Here in this post, we will see how you can compute Bootstrap replicate from a bootstrap sample using Python Statistical Inference It is defined as a process by which we […]

## Creating and Computing over Dictionaries in Python

We can define Dictionary as a collection of keys-values pairs which are unordered, mutable and indexable. Dictionaries in Python are written with the use of curly brackets and between curly brackets, we define our key-value pairs separated with colons : .between each pair. Just like the lists in Python you can manipulate them. A Python dictionary […]

## Anscombe Quartet and use of Exploratory Data Analysis

Whether you are working as Data Scientist or looking to build a career in a Data Science, the pipeline of your work include Extracting dataset, loading dataset, Data Cleansing and munging, finding summary statistics, then do some Exploratory Data analysis (EDA), and after all these things build a model using machine learning. Anscombe Quartet dataset demonstration […]

## Performing Linear Regression using Least Squares

Linear regression is defined as a linear approach which is used to model the relationship between dependent variable and one or more independent variable(s). When we try to model the relationship between a single feature variable and a single target variable, it is called simple linear regression. But when there is more than one independent […]

## How to perform SWOT analysis of your Company (With Example)

Here, in this post, we’ll understand what is SWOT analysis and how you can prepare it. In this changing world where technology is improving day by day, if your business wants to compete with their competitors you have to carry the pace with you. If your business slowed a little bit, you might be solving yesterday’s […]

## 7 steps to prepare your data for machine learning models with Python

As a Data Scientist or data analyst, you have to prepare your data for machine learning models by getting it into shape. When you came across words like data cleaning or data cleansing, pre-processing, wrangling in data science community it has only one meaning that you are referring to pre modelling data activities like removing […]

## 5 comparisons between generator function and generator expression in Python

In our previous post, we have learned about Generator expressions and how we can create generator functions and print values from it. Here, in this post, we will try to learn about generator expression and generator function both but more specifically generator functions in python. Also, we will do some quick comparison between both of them […]