A/B Testing
PRODesign and analyze A/B tests with proper statistical rigor, sample size calculations, and significance testing.
Data analysis, visualization, and insights generation skills for analysts and data scientists.
80 skills available
Design and analyze A/B tests with proper statistical rigor, sample size calculations, and significance testing.
Systematic EDA techniques to understand data distributions, relationships, and patterns before formal analysis.
Transform data insights into compelling narratives that drive action using proven storytelling frameworks.
Apply fundamental machine learning concepts to business problems with clear explanations and practical Python code.
Calculate AI tool adoption ROI for any business function—measure time saved, cost reduction, quality improvements, and revenue impact with …
Query databases and datasets using plain English—generate SQL, create visualizations, and produce insight reports without writing a single …
Generate realistic synthetic datasets for testing, AI model training, and privacy-compliant data sharing with configurable distributions, …
Turn AI into my 24/7 competitive intelligence agent. Monitor competitors, detect market shifts, and uncover strategic opportunities before …
Debug Excel and Google Sheets errors, fix broken formulas, diagnose slow spreadsheets, and understand cryptic error messages like #VALUE!, …
Track competitor pricing, create feature comparisons, generate SWOT analysis templates, build market positioning reports, and monitor …
Quantify technical debt in business terms, calculate ROI for refactoring decisions, forecast breaking points, and build stakeholder …
Predict competitor moves 12-24 months in advance using patent filings, GitHub activity, trademark records, and Reddit community …
Evaluate whether acquisition goodwill remains fairly valued through ASC 350/IAS 36 compliant annual and interim impairment testing with DCF …
Document, reconcile, and eliminate intercompany transactions for consolidation. Match multi-ERP data, generate elimination entries, ensure …
Identify the 2-3 highest-impact metrics and initiatives after product launch. Cut through data noise to focus on retention, activation, and …
Measure my company's ability to raise prices without losing customers. Analyze price elasticity, conduct willingness-to-pay research, …
Diagnose, measure, and visualize my startup's journey to product-market fit using the Sean Ellis test, retention cohorts, and …
Predict customer churn, build health scores, segment at-risk accounts, and design win-back campaigns using ML-powered analysis for SaaS …
Automatically identify miscategorized expenses, duplicate submissions, policy violations, and fraud patterns using ML anomaly detection. …
Mine competitor negative reviews to uncover hidden market gaps, customer pain points, and differentiation opportunities. Transform customer …
Systematically score vendors across cost, quality, reliability, and strategic fit using weighted scorecards and multi-criteria decision …
Project future cash inflows and outflows for 3-12 months. Identify potential shortfalls, plan for large expenses, and maintain healthy cash …
Master mean reversion trading using Bollinger Bands, RSI extremes, and pairs trading to profit from price returning to average levels.
Forecast monthly cash flow for SMBs with DSO/DPO optimization, seasonal pattern analysis, shortfall risk detection, and scenario planning …
Recover failed payments and reduce involuntary churn with smart retry strategies, dunning email sequences, card update campaigns, and …
Master momentum trading using RSI, MACD, and moving averages to identify strong trends and ride price movements for maximum gains.
Compare actual spending vs. budgeted amounts with month-over-month and year-over-year analysis, root cause investigation using the Five Whys …
Master swing trading with technical analysis patterns, entry/exit signals, risk management, and position sizing for capturing multi-day …
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