Data Science
Big Data Science A Big Lure In Business Schools?
In this era of the digital world, billions of data are generated from numerous systems in both structured and unstructured format. Hence multinational corporations demand analytical solutions to gather huge insights and completely align them with the strategy flow to
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Data Science, a Necessity for HR in the Competitive Business World
The world is expanding so does the amount of data available in different fields. We are living in a 100% data-based world. The world’s technological capacity to store information has been doubling every 40 months. According to the World Bank
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Top 10 Data Science Platforms That Cash the Analytics Code
Data science platforms are the must-have tools for any business enterprises that aspire to scale up its frontiers. Data science platform is essentially a software hub around which all the data science functionalities like data exploration and integration from various
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India’s Largest Data Science Event – Data Science Congress 2018 Successfully Concludes On a High Note
2000+ delegates and 100 speakers graced DSC 2018 Data Science Congress 2018, an initiative by Aegis School of Data Science and mUni Campus concluded with a bigger bang this year with 2000+ delegates and 100 speakers across industries. DSC 2018
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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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Manipulating Data in R
R is one of the best languages for data analysis. It has over 10,837 add-on packages with more than 98,996 members on LinkedIn’s R Group. The best thing about R is that it is open source, very powerful and can
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Making Sense of Data
Humans are good at correlating things in almost every aspect of their lives. It comes by nature and is completely inevitable. We make decisions in life mostly based on correlations. However, the strength of association and what one imagines is
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Cluster Analysis and Unsupervised Machine Learning in R
Cluster analysis is one of the most used techniques to segment data in a multivariate analysis. It is an example of unsupervised machine learning and has widespread application in business analytics. Cluster analysis is a method of grouping a set
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