Resources

Econometric Modelling: How It Can Help In Business

Econometric modelling has become a colloquial buzzword, more so with the advent of the big data age. It is applied in all the fields extensively, be it for academic or commercial purposes. Though the term is used commonly, there are

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Top 10 Master’s Program in Data Science

Big data is everywhere and has become crucial for businesses in providing the biggest edge over competitors. The size of the analytics market is expected to be one-third of the global IT market by 2020 from the current one-tenth of

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6 types of regressions, did you know?

Regression is a branch of statistics that has a major applicability in predictive analytics. Regression analysis is used to measure the relationship between a dependent variable with one or more predictor variables. The goal of regression analysis is to predict

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10 Python Libraries for Data Science

The popularity of Python as a developer’s choice has been on the rise since the past few years. The programming language has been ranked number one by IEEE Spectrum in 2017. If you are planning to build your career in

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A Simple, Beginner’s Guide to Machine Learning Algorithms

The world today has witnessed some of the great successes of machine learning applications. We all have awed at the working of self-driving Google car and relied on online recommendation engines of Netflix and e-commerce sites. These are essentially based

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How to choose right programming language for analytics

Choosing the best programming language for data science can be a very challenging task as all the languages have their own standouts in terms of parameters such as performance speed, libraries, extensions, interaction with the web and other apps, etc.

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Know the difference between four data science techniques

  Data science is a vast field to learn. The techniques used in data science help in extracting meaningful insights from data. These techniques also serve as a foundation for many other well-known algorithms. However, they do differ in terms

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Introduction to Logistic Regression

Logistic regression is used to predict a discrete outcome based on variables which may be discrete, continuous or mixed. Thus, when the dependent variable has two or more discrete outcomes, logistic regression is a commonly used technique. The outcome could

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In-Demand Job Profiles in Big Data and Analytics Industry

The Big Data and Analytics field is constantly evolving and constantly making way for new technologies to be picked up and mastered for companies and professionals to stay ahead in the competition. As this field is further broken down in

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How Predictive Analytics Can Revolutionize Healthcare Industry

The global healthcare industry has evinced a strong interest in analytics to reduce cost, manage resources and improve patient care. Analytics plays a pivotal role in understanding data, analyzing trends and make informed business decisions. The whitepaper offers a detailed analysis

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