Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the effect of analytics is only seen if it can bring meaningful change. …

Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping…

What are the Importances of Data Science in the Modern Age?

Data Science is considered one of the best lucrative job fields of the 21st century. It is nothing other than the combined study of mathematics, statistics & computer science (including domain and programming expertise); which is used to…

Time has always been a crucial factor when we record or collect data. And in time series analysis, time is a vital variable of the data. Time series analysis helps us to study the progress over a period of time.

What is the time series analysis?

Time Series is a series of observations taken at specific time intervals to…

Machine learning is increasingly used to build trading algorithms: today’s machine learning algorithms can deal with incredibly complex problems, including portfolio choice. At the same time, there is now a vast amount of data freely available – alongside…

Embedded analytics allow users to integrate business intelligence and its processes into another software application.

Embedded real-time reports and dashboards allow end customers to cheque the data saved in the product…

Advanced Analytics helps to discover insights by applying machine learning to the analysis process. This enables improved decision-making and efficiency of the business. …

Introduction and Motivation

Data science is the most advanced transformative tool currently available among business owners. No wonder organizations are increasingly moving toward data-driven decision making. According to a market report, the data analytics market is expected to grow 30.08% between 2020 and 2023, which roughly translates to $77.6 billion. 



Data-driven decision making has taken over traditional decision –making methods, increasing demand for data science professionals. Companies require…

In recent years, we have seen the Artificial Intelligence field of study appear on several news programs on TV, Radio and Internet.…

Introduction and Motivation

It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…

Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…

After a few biostatistics classes, I began fitting my first logistic regression model using my physician friend’s data on tumors excised from skin cancer patients. I realized that although we were very clear about the dependent variable we were trying to predict – a certain feature of the tumor – I really did not know how to pick the independent…

The emergence of automation has posed a concern for data scientists--will it eventually replace them?

But there is no cause to worry as the eventuality will never happen. Instead, automation will help data scientists to improve the results they derive from analyzing vast amounts of data.

When it comes to the marriage between…

Covariance and correlation are two of the most significantly used terms in the field of statistics and probability. Both are concepts that describe the relationship between two random variables to each other.…

11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…

Nearly everybody wants to invest their recreation energy to watch motion pictures with their loved ones. We as a whole have a similar encounter when we sit on our lounge chair to pick a film that we will watch and go through the following two hours yet can't discover one following 20 minutes. It is so baffling. We unquestionably need a PC operator to give film proposals to us when we have to pick a film and spare our time.

Evidently, a film suggestion specialist has just…

The demand and the supply gap for a data scientist are ever-increasing. In fact, in one of its surveys, IBM predicts increment in data science jobs to be 364,000 to 2720,000 in 2020 which is only going upwards in the subsequent years. Python, as a programming language, is immensely popular for building data science-based applications owing to its simplicity, and large community support and ease of deployment.

Our Data Science with Python online course has been…

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…