Data & Analytics
Data science, SQL queries, Excel, dashboards, visualization, and reporting
10 skillsSQL for Data Analysis
SQL queries for data analysis, reporting, aggregation, and business intelligence.
Python Data Science & Pandas
Data analysis with Python, Pandas, NumPy, and visualization with Matplotlib/Seaborn.
Dashboard & Reporting Design
Data dashboards, KPI tracking, visualization best practices, and executive reporting.
R for Statistical Analysis
Statistical computing with R, tidyverse, ggplot2, and reproducible data analysis workflows.
Power BI Dashboard Development
Build interactive dashboards with Power BI, DAX formulas, data modeling, and report design.
Advanced Google Sheets Formulas
Power-user Google Sheets techniques with QUERY, ARRAYFORMULA, IMPORTRANGE, and Apps Script.
ETL Pipeline Design Patterns
Design reliable ETL and ELT pipelines for data warehousing, transformation, and orchestration.
A/B Testing & Statistical Analysis
Design, run, and analyze A/B tests with statistical rigor, sample size calculation, and significance testing.
Data Visualization Best Practices
Create clear, honest, and impactful data visualizations with proper chart selection and design.
Jupyter Notebook Best Practices
Write clean, reproducible, and collaborative Jupyter notebooks for data analysis and research.