Analysis

Choose the right chart type for your data with a systematic approach based on data type and communication goal.

Track user behavior over time by grouping users into cohorts based on shared characteristics or acquisition date.

Parse, transform, and convert between CSV, JSON, and other data formats with best practices for data interchange.

Analyze customer behavior, calculate lifetime value, segment customers, and predict churn using data-driven methods.

Design effective business intelligence dashboards with clear KPIs, intuitive layouts, and actionable insights.

Comprehensive data analysis framework covering the full analytics lifecycle from problem definition to actionable insights.

Master data preparation and cleaning techniques to transform raw, messy data into analysis-ready datasets.

Navigate data ethics, privacy regulations, and responsible analytics practices to build trust and compliance.

Turn numbers into insights with frameworks for interpreting analysis results and communicating findings effectively.

Evaluate and improve data quality with comprehensive frameworks for profiling, validation, and monitoring.

Transform data insights into compelling narratives that drive action using proven storytelling frameworks.

Create effective charts and visualizations that communicate insights clearly following best practices in visual design.

Advanced Excel techniques for data analysis including formulas, pivot tables, Power Query, and dashboard creation.

Design C-suite dashboards that communicate business health at a glance with strategic KPIs and clear visual hierarchy.

Systematic EDA techniques to understand data distributions, relationships, and patterns before formal analysis.

Analyze financial data, build financial models, and create reports with key metrics like revenue, margins, and cash flow.

Analyze conversion funnels to identify drop-off points, optimize user flows, and improve conversion rates.

Analyze healthcare data for clinical outcomes, operational efficiency, and population health insights.

Analyze workforce data to improve hiring, retention, performance, and employee engagement decisions.

Design compelling data infographics that communicate complex information visually and memorably.

Design meaningful KPIs and metrics that align with business objectives and drive decision-making.

Apply fundamental machine learning concepts to business problems with clear explanations and practical Python code.