IT Career Guides & Free Resources
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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Data Analyst Roadmap 2026: Skills, Tools and Timeline
A data analyst roadmap for 2026: the six stages to learn in order, from spreadsheets and SQL to BI tools, statistics and communication, what each stage should let you do, a realistic part-time timeline, a project that proves each stage, and how to tell when you are ready to apply for analyst roles.
Excel vs Power BI: Which Should You Learn First?
Should you learn Excel or Power BI first? For most beginners, a slice of Excel first, then Power Query and the data model, which Excel and Power BI share, and then Power BI. Here is why, what each tool teaches on its own, and which to start with in your situation.
Data Cleaning: A Practical Step-by-Step Guide
A step-by-step data cleaning guide on 541,909 real transaction lines: profiling before touching anything, removing duplicates, standardising messy text, fixing inconsistent categories, investigating extreme values, keeping a cleaning log, and validation checks that caught a problem the cleaning itself created.
Dashboard Design Principles for Data Analysts
Dashboard design principles for data analysts: designing for one audience and a few questions, fitting on one screen, giving every number context, choosing charts that encode values accurately, arranging content in reading order, and using colour sparingly and accessibly, with a script that checks palette contrast.
How to Create Effective KPIs for Any Business
How to create effective KPIs: starting from objectives rather than available data, breaking an outcome into a tree of drivers that shows where to act, balancing leading and lagging indicators, adding counter-metrics, and writing definitions precise enough to compute, with a KPI tree on real retail data.
Business Analytics Explained: A Beginner's Guide
Business analytics explained for beginners: what it is for, the four types of analytics and the business question each answers, the process that turns a question into a decision, the roles and tools involved, and a worked example on a real online shop's sales that goes from what happened to why it happened.