SQL or Structured Query language is the standard language used to query and manage relational database systems. In its initial days, it was called as “SEQUEL” but later changed to “SQL” due to trademark issues. As there are a lot of database systems are available based on SQL and they all have different extensions, different structure, function […]

## 13 Most Used Matplotlib Plots for Data Visualization in Data Science (with Python Codes)

Here in this post, we have shared 13 Matplotlib plots for Data Visualization widely used by Data Scientists or Data Analysts along with Python codes so that you can easily implement them side by side with us. Python’s Matplotlib library plays an important role in visualizing and serve as an important part for an Exploratory Data […]

## Reading 15 most common file formats used in Data Science (using Python)

Here in this post, we will see how we can read most common file formats used in Data Science (using Python) with code. When you are working as a Data Scientist or Data Analyst, your most of the time is utilized in reading the dataset from different sources (including data saved in different file formats and […]

## Handling missing values using Python in Data Science

When you start your journey towards data science or data analysis, one thing is for sure that the major task in both these positions is of handling missing values using Python or R whatever platform or language you choose. It’s said that almost 75 – 80% of the time, a data scientist or data analyst […]

## 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 […]

## 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 […]