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.
Data Analyst Salary in Hyderabad 2026: What Moves an Analyst's Pay
Analyst pay varies more than most people expect, and two things the analyst controls stand out in real 2025 survey data: whether they code, and which industry they work in. This guide shows both, compared fairly with same-experience peers, and explains what it means for analysts in Hyderabad.
Top 20 DAX Functions Every Analyst Should Know
Twenty DAX functions that cover most Power BI reporting, grouped by job: counting and summing, iterators such as SUMX, CALCULATE and its filter modifiers, relationship functions, logic and safe division, SELECTEDVALUE and VALUES, time intelligence, and RANKX, each with an example measure and the mistake to avoid.
How to Build a Data Analyst Portfolio in 2026
How to build a data analyst portfolio in 2026 that reviewers actually open and read: what they check in the first few minutes, a hub page and case-study structure for analyst work, publishing dashboards without exposing data you should not, presenting SQL and spreadsheets, and a checklist to run before you apply.
Career Roadmap: Analyst to Scientist to Lead
The usual picture of a data career ends in management, but even after ten years most data professionals are individual contributors. Survey data and a public job ladder show how analyst experience counts towards data science, how leads differ from managers, and how to choose the track that suits you.
Pandas Interview Questions Every Analyst Should Know
Pandas interview questions are rarely about remembering method names. They check whether you notice what the data and the library do quietly. Eight questions answered on 41,188 real bank marketing calls with pandas 3: disguised missing values, agg vs transform, groupby and NaN, copy-on-write, merges, pivots, bins.