Master data analysis with Python using Pandas, NumPy, and data manipulation best practices for efficient data processing.
Data & Analytics
Data analysis, visualization, and insights generation skills for analysts and data scientists.
80 skills available
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Transform data insights into compelling narratives that drive action using proven storytelling frameworks.
Analyze customer behavior, calculate lifetime value, segment customers, and predict churn using data-driven methods.
Write efficient SQL queries for data analysis including aggregations, window functions, CTEs, and performance optimization.
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Apply statistical methods for business decisions including hypothesis testing, confidence intervals, and significance analysis.
Analyze inventory, logistics, and supplier data to optimize supply chain operations and reduce costs.
Analyze survey data to extract insights from Likert scales, open-ended responses, and demographic cross-tabulations.
Build powerful Tableau dashboards and visualizations with calculated fields, parameters, and advanced analytics.
Analyze temporal data patterns, detect seasonality, and build forecasting models for time-dependent data.
Analyze website traffic, user behavior, and conversion data from Google Analytics and other platforms.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization.
Master machine learning with scikit-learn. Classification, regression, clustering, preprocessing, model evaluation, and production …
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