R Programming for Data Analysis
Learning outcomes: Learn data cleaning, statistical analysis, and visualizations with R Books and materials: Included Estimated duration: 10 hours Pricing: CAD 129.00
What You'll Learn
Module 1: Introduction to R Programming for Data Analysis
This module develops foundations and key concepts for R Programming for Data Analysis. Learners connect the topic to data cleaning, statistical analysis, and visualizations in realistic technology & it situations. The main working habit in this module is that clear records and steady follow-through build professional trust.
3 lessons
Lesson 1: Understanding the Core Idea: Foundations and Key Concepts
50mImagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. Someone asks you to improve data cleaning, but gives you no useful context. A weak response would repeat a definition. A professional response would first ask what result is needed, who is affected, and what evidence would show that the work is helping.
Lesson 2: Using the Idea in Practice: Foundations and Key Concepts
50mA concept only becomes useful when it survives contact with a real request. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. You have to improve data cleaning with limited time, incomplete information, and a colleague waiting for a usable result.
Lesson 3: Scenario, Review, and Improvement: Foundations and Key Concepts
50mA useful skill is tested most clearly when the result is disappointing. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. The team has completed work on data cleaning, but the result has not produced fewer missed handoffs and more consistent delivery.
Module 2: Processes, Tools, and Daily Workflow: Data Cleaning
This module develops processes, tools, and daily workflow for R Programming for Data Analysis. Learners connect the topic to data cleaning, statistical analysis, and visualizations in realistic technology & it situations. The main working habit in this module is that repeatable steps make quality easier to maintain.
3 lessons
Lesson 1: Understanding the Core Idea: Processes, Tools, and Daily Workflow
50mImagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. Someone asks you to improve statistical analysis, but gives you no useful context. A weak response would repeat a definition. A professional response would first ask what result is needed, who is affected, and what evidence would show that the work is helping.
Lesson 2: Using the Idea in Practice: Processes, Tools, and Daily Workflow
50mA concept only becomes useful when it survives contact with a real request. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. You have to improve statistical analysis with limited time, incomplete information, and a colleague waiting for a usable result.
Lesson 3: Scenario, Review, and Improvement: Processes, Tools, and Daily Workflow
50mA useful skill is tested most clearly when the result is disappointing. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. The team has completed work on statistical analysis, but the result has not produced fewer missed handoffs and more consistent delivery.
Module 3: Communication, Service, and Quality Control
This module develops communication, service, and quality control for R Programming for Data Analysis. Learners connect the topic to data cleaning, statistical analysis, and visualizations in realistic technology & it situations. The main working habit in this module is that strong communication reduces rework and confusion.
3 lessons
Lesson 1: Understanding the Core Idea: Communication, Service, and Quality Control
50mImagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. Someone asks you to improve visualizations, but gives you no useful context. A weak response would repeat a definition. A professional response would first ask what result is needed, who is affected, and what evidence would show that the work is helping.
Lesson 2: Using the Idea in Practice: Communication, Service, and Quality Control
50mA concept only becomes useful when it survives contact with a real request. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. You have to improve visualizations with limited time, incomplete information, and a colleague waiting for a usable result.
Lesson 3: Scenario, Review, and Improvement: Communication, Service, and Quality Control
50mA useful skill is tested most clearly when the result is disappointing. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. The team has completed work on visualizations, but the result has not produced fewer missed handoffs and more consistent delivery.
Module 4: Applied Practice and Performance Review
This module develops applied practice and performance review for R Programming for Data Analysis. Learners connect the topic to data cleaning, statistical analysis, and visualizations in realistic technology & it situations. The main working habit in this module is that reflection turns practice into long-term skill.
3 lessons
Lesson 1: Understanding the Core Idea: Applied Practice and Performance Review
50mImagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. Someone asks you to improve data cleaning, but gives you no useful context. A weak response would repeat a definition. A professional response would first ask what result is needed, who is affected, and what evidence would show that the work is helping.
Lesson 2: Using the Idea in Practice: Applied Practice and Performance Review
50mA concept only becomes useful when it survives contact with a real request. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. You have to improve data cleaning with limited time, incomplete information, and a colleague waiting for a usable result.
Lesson 3: Scenario, Review, and Improvement: Applied Practice and Performance Review
50mA useful skill is tested most clearly when the result is disappointing. In this lesson, imagine that you are an operations coordinator in a small service team that needs a reliable way to organise work. The team has completed work on data cleaning, but the result has not produced fewer missed handoffs and more consistent delivery.
Enrollment
CA$129
Includes 12 lessons, learner enrollment, and access through the student account.