Data Science Data science is all about data, and I’m pretty sure you already knew that. But did you know that we use data science to make business decisions? I’m pretty sure you knew that as well. So what else is new here? Well, do you know how data science is used to make business decisions? No? Let’s look at that then.We all know that...

The Python if else statement is an extended version of the if statement. While the Python if statement adds the decision-making logic to the programming language, the if else statement adds one more layer on top of it. Both of them are conditional statements that check whether a certain case is true or false. If the result is true, they will...

Essential Skills for Data Science Programming Skills         No matter what type of company or role you’re interviewing for, you’re likely going to be expected to know how to use the tools of the trade. This means a statistical programming language, like R or Python, and a database querying...

Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script. NumPy is one such package to ease array computations. To install all these...

Python is the internationally acclaimed programming language to help in handling your data in a better manner for a variety of causes.We live in the digital era of high technologies, smart devices, and mobile solutions. Data is an essential aspect of any enterprise and business. It’s crucial to gather, process, and analyze the data flow and to...

Why is data science important? Data science is a highly interdisciplinary practice involving a large scope of information and one that usually takes into account the big picture more than other analytical fields. In business, the goal of data science is to provide intelligence about consumers and campaigns and help companies create strong...

The one-sample t-test is used to determine whether a sample comes from a population with a specific mean. This population mean is not always known, but is sometimes hypothesized. For example, imagine that an academic was conducting research on the relationship between exam performance and revision time, but wanted to first check whether his...

R: A good data scientist is the one who is a passionate coder along with an intelligent statistician and for statistics, there is nothing as good as R. Because of its power of statistics, R is also called as the golden child of data science. The data scientists skilled with R are being looked upon by the biggest brands like Facebook, New York...

You start by defining a problem. You start with something that you want to understand better or a question that you want to answer. You move on to collecting data to answer that question. Then you enter this loop at the bottom here, where you oscillate between understanding the data and exploring the data—so, making some assertion about the...

The demand for data scientists in every industry is growing substantially. For the development of every business, there is a need to assess the data you gather. And data scientists require both the right tools and perfect skill set to enable you to produce better results with your information. Based on the Forbes report, Data Science is the...