Data Science for Non-Programmers

Module 1: Introduction to Data Science

⏳ 1 week

• Topics: Data science lifecycle, problem framing, key terminology

• Hands-on: Define a business problem and outline a data-driven solution approach

Module 2: Data Wrangling & Cleaning

⏳ 1 week

• Topics: Handling missing values, outlier detection, normalization

• Hands-on: Clean a sample dataset in Excel or Google Sheets using built-in functions

Module 3: Exploratory Data Analysis

⏳ 1 week

• Topics: Summary statistics, pivot tables, chart selection best practices

• Hands-on: Use spreadsheet pivot tables and charts to surface trends and anomalies

Module 4: Visual Analytics & Dashboarding

⏳ 1 week

• Topics: Principles of visual design, interactive dashboards, storytelling with data

• Hands-on: Build a dashboard in Google Data Studio or Microsoft Power BI’s no-code interface

Module 5: No-Code Predictive Modeling

⏳ 1 week

• Topics: Regression vs. classification, model evaluation metrics, overfitting

• Hands-on: Train and evaluate models in a no-code tool like RapidMiner or Orange

Module 6: Communicating Insights & Recommendations

⏳ 1 week

• Topics: Crafting narratives, slide deck design, stakeholder presentation skills

• Hands-on: Prepare a short report and presentation summarizing key findings

Get certificate