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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Building a Sales Dashboard: A Hands-On Project
A hands-on sales dashboard project built on a real online retailer's 541,909 transaction lines: agreeing the questions and KPIs, removing cancellations, postage and fees, computing monthly revenue, orders and average order value, finding the breakdowns that matter, and laying it out so key numbers are read first.
Correlation vs Causation: A Must-Know for Analysts
Correlation versus causation for analysts, shown on real data rather than silly examples: how time of day turns humidity into an apparent driver of bike rentals, why unrelated trends correlate so often, the other ways correlations mislead, and the practical steps analysts use to move from an association to a cause.
Data Analytics Projects for Your Resume
Seven data analytics projects for a resume, each on a real, openly licensed dataset and framed as a business question: sales and returns, customer retention and value, bike-share operations, a SQL business review, country indicators, a developer survey and an Indian public dataset, with the skills each proves.
Data Visualization Best Practices and Common Mistakes
Data visualisation best practices built around the mistakes they prevent, with the distortion measured rather than asserted: a truncated axis that exaggerates a 4% change 25 times, circles that triple a difference, percent versus percentage points, choosing the chart for the relationship, dual axes, colour and clutter.
Descriptive vs Diagnostic vs Predictive Analytics
Descriptive, diagnostic and predictive analytics compared in practice: one real bike-sharing dataset taken through all three, from what happened, to why the worst day happened, to forecasting the next six months and beating a simple baseline, with the limits of each type and where prescriptive analytics takes over.
Excel for Data Analysis: Formulas That Matter
The Excel formulas that do most of the work in data analysis, shown as patterns on a sales table: looking up values with XLOOKUP, conditional totals with SUMIFS and COUNTIFS, cleaning text properly, handling errors without hiding problems, dynamic arrays with UNIQUE and FILTER, and readable formulas with LET.