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Mayank kumar Verma@mayankkrverma798sshfc
4 Bookmarks
Shift Left, Shift Smart: Evolving Testing Strategies in 2025
Software Development17 days ago
Source: Shift Left, Shift Smart: Evolving Testing Strategies in 2025
In 2025, software testing has shifted left—starting earlier in the development cycle for faster, smarter results. This proactive approach helps teams catch bugs early, save time, and reduce costs. With AI-powered tools and automation, testing is now more efficient and integrated. Shift Left isn’t just about timing—it’s a smarter way to ensure quality and performance from the start. Evolve your strategy, test early, and deliver better software.
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AI Meets Data Science: The Perfect Match for Business Intelligence | Medium Blog
Technology25 days ago
Source: AI Meets Data Science: The Perfect Match for Business Intelligence | Medium Blog
AI and data science are transforming business intelligence, driving sharper insights and faster, more precise decisions. This synergy boosts efficiency and keeps companies ahead in a data-driven marketplace. As data complexity rises, AI-powered analytics will be key to sustainable success.
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Mastering Data Analytics: Your Ultimate Guide to a Thriving Career
Software Development27 days ago
Source: Mastering Data Analytics: Your Ultimate Guide to a Thriving Career
Data Analytics is one of the most in-demand skills in today’s digital world. Mastering it opens doors to high-paying roles across industries like finance, healthcare, e-commerce, and technology. This guide will help you understand the core concepts of data analytics, including data collection, analysis, visualization, and tools like Excel, SQL, Python, and Tableau. Whether you're a beginner or looking to upskill, learning data analytics can transform your career. With the right training and hand
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What are the specific technical skills you need to know for data analytics?
Technology29 days ago
Source: What are the specific technical skills you need to know for data analytics?
mastering technical skills such as data cleaning, statistical analysis, SQL, Python or R programming, and data visualization is essential for a successful career in data analytics. Proficiency in tools like Excel, Tableau, and machine learning frameworks also enhances analytical capabilities. These skills enable analysts to interpret complex data, generate insights, and support data-driven decision-making across various industries. Continuous learning ensures relevance in this fast-evolving area
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