By statswork
/ August 9, 2021
Standard statistical tools in research and data analysis
Introduction Statistics is a field of science concerned with gathering, organising, analysing, and extrapolating data from samples to the entire...
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By statswork
/ August 9, 2021
Significance of Big data analytics in the healthcare industry
Big data signifies to large volumes of data that may be used to solve problems. It has piqued people's curiosity...
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By statswork
/ August 6, 2021
Investigating and addressing publication and other biases in meta-analysis
INTRODUCTION Studies that indicate a substantial impact of therapy are more likely than other studies to be published, published in...
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By statswork
/ July 14, 2021
APPLICATION OF QUANTITATIVE DATA ANALYSIS IN FINANCE
INTRODUCTION Quantitative data is a collection of numerical data mostly utilized in business standards for analytical and statistical purposes. It...
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By statswork
/ June 17, 2021
Thematic Analysis of Qualitative Data: Identifying Patterns that solve many unresolved Industrial Questions / Challenges.
Introduction To make a sense of data is cumbersome, especially when the information it contains is overwhelming. However, patterns derived...
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By statswork
/ June 17, 2021
How Recent Analytics And Related Technologies Works In CPG Industry?
Introduction COVID-19 is turning up 12 trends that have been disturbing consumer goods for a half-century. The global consumer packaged...
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By statswork
/ June 11, 2021
Analyses for Logistics & Transportation: How Statswork experience enhance L&T operations
Introduction: In recent decades, Logistics and Transportation facing many challenges that are integrated with e-commerce, data from sensors, GPS, and...
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By statswork
/ June 11, 2021
How to conduct the efficiency and productivity analysis of logistic providers’ services?
Introduction: The continuous flow of knowledge, product, and funds between vendors, producers, sellers, retailers, and consumers are one of the...
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By statswork
/ June 4, 2021
How machine learning analytics and metrics could be effectively used in retailing research
Introduction Machine learning in retail goes beyond big data fundamentals. It's been advised for years, data is king and that...
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By statswork
/ June 4, 2021
How to identify your Client needs through your organizational ERP?
Introduction: In this decade, most complex tasks are concise using automation technology for rapid accessibility and reliability. Client need examination...
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By statswork
/ June 2, 2021
What are the different techniques in data-driven marketing?
Introduction Data-driven marketing is a collection of strategies and approaches that use large volumes of data to construct successful marketing...
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By statswork
/ June 2, 2021
Selecting the Right Type of Algorithm for various Applications
Introduction Machine learning algorithms may be classified mainly into three main types. Supervised learning constructs a mathematical model from the...
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