Category: SAP Training

Twenty-five SQL interview questions asked in data analyst and data science interviews, with clear answers — joins, aggregation, window functions, NULL behaviour, query reasoning and the live query round.

A practical comparison of the main SAP modules for beginners — MM, SD, FICO, ABAP and the others worth knowing — covering what each involves, who each suits, coding requirements, entry routes in India, and whether you can switch later.

An honest analysis of whether a paid data science course is worth it in India in 2026 — what the job market actually looks like, when a course helps, when it does not, how to evaluate one, and the red flags that should stop you signing up.

A complete SAP FICO syllabus breakdown for beginners — every FI and CO sub-module, what each covers, the S/4HANA changes that matter, prerequisites, and a realistic order to learn it in.

A realistic timeline for learning Workday — how long each stage takes, how your background changes it, why tenant access is the real constraint, and what the first year on a project actually adds.

A full guide to Salesforce careers in India — the roles the ecosystem actually hires for, realistic salary bands, who is hiring, how freshers and career switchers get in, and which specialisations are growing.

What full-stack developers actually earn in India in 2026 — salary bands by experience, why company type matters more than years, city and stack differences, the skills that move offers most, and why published figures vary so widely.

A practical comparison of Python and R for data science — what each is genuinely better at, where the Indian job market sits, which to learn first depending on your goals, and why the skills that matter most are not language-specific at all.

A stage-by-stage guide to the SAP ABAP career path — what to learn first, how classic ABAP differs from S/4HANA development with CDS and RAP, how to get system access, and how developers progress to technical consultant and architect roles.

A practical comparison of Adobe Premiere Pro and DaVinci Resolve for anyone starting a video editing career in India — cost, learning curve, colour and audio tools, hardware needs, where each is used professionally, and which to learn first.

Twenty-five Selenium interview questions with clear answers — locators, waits, exceptions and WebDriver basics for freshers, then framework design, Grid, flaky tests and Selenium 4 changes for experienced testers.

Twelve mistakes that stall most people learning machine learning — from starting with deep learning to data leakage and notebook-only portfolios — with what to do instead at each step.