Apply fundamental machine learning concepts to business problems with clear explanations and practical Python code.
Data & Analytics
Data analysis, visualization, and insights generation skills for analysts and data scientists.
83 skills available
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A/B Testing
PRODesign and analyze A/B tests with proper statistical rigor, sample size calculations, and significance testing.
Master data analysis with Python using Pandas, NumPy, and data manipulation best practices for efficient data processing.
Advanced Excel techniques for data analysis including formulas, pivot tables, Power Query, and dashboard creation.
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Showing 83 of 83 skills available
Clean messy CSV and spreadsheet data with AI — fix missing values, remove duplicates, standardize formats, validate data, and prepare clean …
Build professional financial models with AI — 3-statement models, DCF valuations, SaaS metrics, LBO analysis, revenue forecasts, and …
Master Google Sheets with AI — formulas, ARRAYFORMULA, QUERY, Gemini AI functions, Apps Script automation, and advanced data analysis …
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 …
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