Data Science

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Streaming Analytics: Revolutionizing Businesses in the Data-Driven Era
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Streaming Analytics: Revolutionizing Businesses in the Data-Driven Era

In today's data-driven landscape, the ability to harness real-time streaming data is a game-changer for businesses across all sectors. Traditional analytics tools deal with static data, but streaming analytics empowers organizations to extract valuable insights from data in motion. This dynamic approach allows companies to respond swiftly to evolving situations, read more..
Revolutionizing Healthcare: The Unstoppable Rise of Data Analytics in the Industry
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Revolutionizing Healthcare: The Unstoppable Rise of Data Analytics in the Industry

Amid an era marked by technological progress, the healthcare industry is experiencing a significant transformation, primarily propelled by the integration of data analytics. This article explores the crucial significance of data analytics in revolutionizing the healthcare sector, exploring its various types, benefits, and the latest practices shaping its trajectory. What is Data read more..
PREDICTIVE ANALYSIS USING R
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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..
WHAT IS THE PURPOSE OF DATA SCIENCE
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WHAT IS THE PURPOSE OF DATA SCIENCE

What is the purpose of data science? Knowing its significanceWe 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..
FEATURES OF SAS PROGRAMMING
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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..
SAS IN HEALTHCARE ANALYTICS
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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..
WHY IS LEARNING SAS SO IMPORTANT FOR DATA SCIENTISTS
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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..
SKILL SETS REQUIRED TO BE A DATA SCIENTIST
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SKILL SETS REQUIRED TO BE A DATA SCIENTIST

Skill Sets Required To Be a Data ScientistData 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..
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