Data Analysis for Business (Beginner)
Interpret data, statistics, patterns, and evidence for decisions.
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Chapters
- Beginner
Business Questions and the Analysis Workflow
Turn a workplace request into a measurable question, defined population, and checked analysis plan.
- Beginner
Data Structure, Variables, Types, and Grain
Identify observations, variables, types, identifiers, and the row grain behind each calculation.
- Beginner
Data Quality and Profiling
Profile data for applicability, completeness, validity, consistency, uniqueness, and useful ranges.
- Beginner
Cleaning Missing, Duplicate, and Inconsistent Data
Make defensible cleaning decisions while preserving source values and documenting changes.
- Beginner
Populations, Filters, and Comparison Groups
Define inclusion rules, time windows, cohorts, segments, and compatible comparison groups.
- Beginner
Descriptive Statistics for Business
Choose and validate counts, totals, means, medians, minimums, maximums, and ranges.
- Beginner
Percentages, Rates, Ratios, and Change
Calculate percentages, event rates, ratios, percentage-point change, and percent change.
- Beginner
Distributions, Outliers, and Business Segments
Describe data shape, concentration, outliers, and documented business segments.
- Beginner
Comparing Groups and Time Periods
Compare compatible groups and periods using consistent definitions and denominators.
- Beginner
Charts and Dashboards for Business Decisions
Choose honest charts and arrange a focused, accessible decision-support dashboard.
- Beginner
Correlation, Causation, and Evidence Limits
Distinguish association from causation and identify important evidence limitations.
- Beginner
Forecasting Basics and Scenario Thinking
Build simple baselines and scenarios without presenting forecasts as certainty.
- Beginner
Workplace Analysis Capstone and Communication
Deliver a checked analysis with evidence, limitations, recommendation, and reproducible handoff.