3.2Support TechnologySession 3 · Deep Learning & Applied Machine Learning

Programming with R for data analysis and visualization

20classes60htotalTH2 · PR2 · PNW2weighting per class

Class-by-class breakdown

20 classes

TH = theory · PR = practical · PNW = personal work. These are ministry weighting codes (not hours) used to split each class's minutes. Class length = course hours ÷ class count; the three time-boxes below always sum to that length.

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First 2 classes free with a referral 19 more with enrollment180 min per classTheory 60mPractical 60mPersonal Work 60m
1

Why R Still Matters in an Agentic-AI Workflow

FreeTH2PR2PNW2

A Data/Business Analyst who pairs R's analysis power with Python-built agents can evaluate and visualize what the agent actually does.

Theory60m
  • R's role alongside Python in an AI stack: analysis, stats, visualization
  • When to reach for R vs Python in a GenAI project
  • The tidyverse mindset for agent-output analysis
Practical60m
  • Install R + RStudio and run a first script
  • Load a sample dataset of agent Q&A logs into a data frame
Personal Work60m
  • Write a short note on where R fits in your sample agentic-AI project
  • Micro-task: submit your note
2

R Basics — Vectors, Data Frames and the Analysis Building Blocks

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who reads R data frames can inspect the logs and outputs an agent produces

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3

The Tidyverse — dplyr for Wrangling Agent Data

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who uses dplyr can clean and summarize agent outputs fast — filter, mutate, summarize are the daily tools

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4

Importing and Tidying Data — Logs, JSON and Agent Outputs

LockedTH2PR2PNW2

Locked class preview

A Project Manager analyzing agent performance must first tidy messy logs — R's tidyr handles the reshaping

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5

Descriptive Statistics in R — Summarizing Agent Behavior

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who summarizes agent outputs (latency, confidence, answer length) spots problems before users do

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6

ggplot2 Basics — Visualizing Agent Metrics

LockedTH2PR2PNW2

Locked class preview

A Digital Marketing Strategist presenting agent impact needs clear charts — ggplot2 turns agent logs into stakeholder-ready visuals

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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7

Visualizing Distributions — Where Agent Outputs Cluster

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who plots distributions of agent confidence or latency sees whether the agent is consistently good or wildly variable

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8

Analyzing RAG Retrieval Quality with R

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who analyzes retrieval results in R can prove which chunks the agent actually used — and which it missed

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9

Visualizing Embedding Spaces — Seeing What the Agent 'Knows'

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who visualizes embeddings can see clusters of similar knowledge — revealing gaps the agent can't answer from

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10

Correlation and Relationships in Agent Data

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who checks whether retrieval confidence correlates with answer quality avoids trusting confident-but-wrong agents

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11

Comparing Groups — Is Agent A Better Than Agent B?

LockedTH2PR2PNW2

Locked class preview

A Project Manager choosing between agent configs needs statistical comparison — R makes A/B comparison rigorous

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12

Text Analysis in R — Counting Words in Agent Answers

LockedTH2PR2PNW2

Locked class preview

A Digital Marketing Strategist auditing agent tone can use R's text tools to count terms and spot repetitive or off-brand language

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13

Sentiment and Tone Analysis of Agent Outputs

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who measures sentiment in agent replies can flag responses that sound dismissive or unhelpful

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14

Building an Agent-Performance Dashboard in R

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who builds a dashboard gives stakeholders a live view of agent health — charts that update with the data

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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15

Reproducible Reports with RMarkdown — Documenting Agent Analysis

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who ships a reproducible RMarkdown report lets stakeholders re-run the analysis — trust comes from transparency

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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16

Connecting R to Python Agent Pipelines

LockedTH2PR2PNW2

Locked class preview

A Project Manager running a mixed stack needs R and Python to share data — interoperability keeps analysis and agent-building connected

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17

Statistical Evaluation of Agent Quality — Beyond Averages

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who reports only averages hides the agent's worst failures — statistical evaluation reveals the full picture

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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18

Mini-Project — Analyze and Visualize a GenAI Agent's Performance

LockedTH2PR2PNW2

Locked class preview

This capstone rehearsal proves a Data/Business Analyst can take raw agent logs to a stakeholder-ready R analysis and dashboard

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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19

Time Series of Agent Metrics — Tracking Behavior Over Time

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who plots agent metrics over time catches degradation before users complain — trends reveal drift

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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20

Present and Reflect — Your Agent-Analysis Story

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst presenting an agent-analysis story turns numbers into decisions — a clear narrative earns stakeholder trust

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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