Data Science

Welcome to our journal. Here you can find the latest company news and business articles

Read More

PREDICTIVE ANALYSIS USING R

Predictive analysis is a branch of analysis which uses statistics operations to analyse historical facts to make forecast future events. It is a common term used in data mining and machine learning. Methods like time series analysis, non-linear least square etc are used in predictive analysis. Predictive analytics can help many businesses as it treasures out the relationship between the various read more..

Read More

WHAT IS THE PURPOSE OF DATA SCIENCE

What is the purpose of data science? Knowing its significance
We will go through the role played by a Data Scientist in this article. Data Science has a layer of mystery surrounding it. Although the Data Science buzzword has been circulating for a while, very few individuals know the real meaning of becoming a Data Scientist. We will go through the different roles that mus read more..

Read More

FEATURES OF SAS PROGRAMMING

What is SAS-
Statistical Analysis Systems is the complete form of SAS. SAS is a versatile language for programming. The language elements are called procedures. The processes perform different things, such as different forms of analysis, functions of data management, and generate various types of output for text-based and graphical presentation.
There are the followin read more..

Read More

SAS IN HEALTHCARE ANALYTICS

The Statistical Analysis System (SAS) is one of the most common and effective methods used in data analysis and statistical modelling. It is one of the fastest and most robust advanced analytics, multivariate analysis, business intelligence, data mining, data management, report writing, statistical analysis, application development, business modeling, and data warehousing software. SAS is an as read more..

Read More

WHY IS LEARNING SAS SO IMPORTANT FOR DATA SCIENTISTS

Why is Learning SAS so important for data scientists?
Despite the insurgence of immense rivalry, SAS still features one of the most respected and commonly used programming languages in advanced analytics and data science. It is important for us to note that SAS has been a leading language on the market for around two decades. This shows how adaptable and plastic it was in an industry that read more..

Read More

SKILL SETS REQUIRED TO BE A DATA SCIENTIST

Skill Sets Required To Be a Data Scientist
Data scientists are big analyzers of data. Their works revolve around gathering and analyzing large sets of structured and unstructured data with the help of computer science, statistics, and mathematics. As defined by Josh Wills "A data scientist is someone who is better at statistics than any software engineer and better at soft read more..

Read More

SAS IS GAINING PROMINENCE IN HEALTHCARE -1

SAS is gaining prominence in healthcare: -

When the transformation of healthcare into the digital era moves forward, there are resources that play a vital role in promoting the study of the production of the new wave of data. Statistical analysis systems (SAS) are one of the devices that has far-reaching benefits for the healthcare sector, from insurers to physicians read more..

Read More

How Telecom Industry is Shaping up for the next generation using Data Science

Telecom industry, probably, would be one of the highest, data producing industry in today's world. The amount of unstructured data produced and captured by the telecom service providers are humungous. And the size of data will keep increasing with time, as the number of individuals not using the services of telecom industry, directly or indirectly, is diminishing by the day.

Also, va read more..

Read More

Market Segmentation Techniques & Strategies

Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics. In dividing or segmenting markets, researchers typically look for common characteristics such as shared needs, common interests, similar li read more..