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Difference Between Functional and Non-Functional Testing
Both functional and non-functional testing are important parts of the phase of software testing. While functional testing ensures the software behaves as expected and meets the user requirements, non-functional testing evaluates the performance, security, and usability of the system.
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The Importance of Data Analytics in the Education System
By harnessing data analytics, educational organizations can identify trends, predict future outcomes, and create personalized learning for individual students in a way that helps to form an education system that will be more helpful and effective. #Dataanalytics#education
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Data Science for Marketers: Unlocking the Power of Customer Data
Building upon their customer data and using advanced techniques in data science, marketers would reap much more valuable insights that drive better decision-making, improve campaign performance, and enhance the customer experience.
#DataScientist #CustomerData #datascience #datasciencetraining #datasciencecourse
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How to Make a Career in Data Science?
To build a career in data science is to involve dedication, continuous learning, and hands-on experience. Every step you take will bring you closer to becoming a data science expert, whether you achieve the right education or master all essential tools and algorithms.
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