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 Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
Data Science vs Data Analytics: Which Career Is Right for You?
A career-choice guide rather than a feature table: what a working week looks like for a data analyst and a data scientist, a self-check to see which kind of work suits you, the skills to build first for each, how people move between the two, and why the choice is less permanent than it feels.
Python for Data Science: The Essential Libraries
The Python data science stack explained by the job each library does: NumPy for arrays, pandas for tables, Matplotlib and seaborn for charts, SciPy and statsmodels for statistics, scikit-learn for models and Jupyter for exploration, with one runnable example that passes a real dataset through them.
Data Science Interview Questions and Answers 2026
A data science interview is several interviews in one: statistics, machine learning, coding, product sense and a take-home. This guide maps each round with model answers, then works a churn take-home on real telecom data, including the checks that separate a strong submission from a high score.
Data Science Projects for Freshers: 12 Ideas with Datasets
Twelve data science project ideas for freshers, each paired with a real public dataset and framed as a question worth answering: campaign response, customer segments, demand, fairness, text classification, big data and more, with the skills each proves and a stretch goal that makes it stand out.
Career Switch to Data Science: A Realistic Roadmap
Most data scientists hold a master's degree or a doctorate, and that shapes any realistic career switch. Data from O*NET and from 574 working data scientists shows the education, experience and tools the job really involves, and why moving through an analyst role first is the most reliable route for career changers.