Category Archives: Data Science

10 Top Data Science Project Ideas with Source Code

If you are a beginner and confused in choosing the best data science project to implement and add to your resume, you are at the right place. This article aims to make you familiar with some top data science project ideas. Data scientists are responsible for analyzing large sets of structured and unstructured data to uncover patterns and… Read More »

Data Science vs Data Analytics: What is the Difference?

Data science and data analytics, along with big data, have become buzzwords these days. Big data is a broad term and refers to voluminous and complex data sets generated from three primary data sources, namely social data, machine data, and transactional data. The traditional data processing and analysis systems cannot handle such complex and voluminous data, and hence,… Read More »

Top 10 Must-have Data Scientist Skills

Data science is a multidisciplinary domain that utilizes scientific methods, techniques, algorithms, and systems to gain meaningful business insights by analyzing and interpreting big data. Leveraging this big data as an insight-generating tool has resulted in great demand for data scientists across several industries. Here, we will discuss the must-have data scientist skills. From start-ups to enterprises and… Read More »

What is a Neural Network?

Many people have confusion between a neural network and deep learning. While neural networks are composed of multiple layers, ‘deep’ in deep learning refers to the depth of these layers. If layers in a neural net are two or three, then it is simply called a neural network. On the other hand, if there are more than three… Read More »

What is Data Analytics?

The term data analytics has become a buzzword in today’s data-driven world. Organizations and companies are generating vast amounts of data in the form of transactional data, log files, customer-related data, and so on. Also, social media platforms contribute a lot in generating large volumes of data. However, only generating data is not sufficient. Companies should use it… Read More »