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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.

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Career Guidance
6 May 2026 7 min

How to Plan a 5-Year Career in Data

Five-year career plans fail when they predict job titles; they work when they set direction and review it often. Employer forecasts put big data roles among the fastest-growing jobs, and survey data shows what data professionals want to learn next. This guide uses both to build a five-year plan with yearly milestones.

GloryTecks Team
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GCP
6 May 2026 6 min

How to Start a Career in Google Cloud in 2026

Google Cloud is the third of the big clouds by use, and most of its users work with another cloud too. But in some areas it is unusually strong: data, AI, mobile apps, and India. This guide uses survey data to show where those openings are, then sets out a 2026 start that spends nothing until you are ready.

GloryTecks Team
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Power BI
6 May 2026 5 min

From Power BI Beginner to Developer: A Career Roadmap

Learning Power BI is one roadmap; building a career on it is another. This guide follows the roles, from report author to BI developer and analytics engineer, with what each one owns, what employers' official descriptions say the work involves, and where Microsoft's PL-300 and DP-600 certifications fit along the way.

GloryTecks Team
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Azure Data Factory
6 May 2026 7 min

ADF Control Flow: ForEach, If and Until Activities

Control flow activities turn a list of steps into logic. This guide covers the four that do most of the work in Azure Data Factory: ForEach for loops, If Condition and Switch for branching, and Until for polling, with each one's properties and documented limits, a JSON example, the nesting rule and concurrency traps.

GloryTecks Team
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Interview Questions
6 May 2026 9 min

Python Coding Interview Questions and Patterns

Most Python coding interview questions are one of a handful of patterns in disguise. Seven of them, hash map, sliding window, two pointers, heap, monotonic stack, binary search and interval merging, are solved here on two years of real bike-share data with the standard library, and checked against brute force.

GloryTecks Team
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Interview Questions
6 May 2026 7 min

Deep Learning Interview Questions and Answers

Deep learning interviews probe whether you can make training work and recognise when it fails. Six questions are answered by training a small PyTorch network on 13,611 real bean measurements, then breaking it on purpose: unscaled inputs, bad learning rates, overfitting, dropout left on, and gradients never cleared.

GloryTecks Team
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