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R Programming for Statistics and Data Science - What Does this Course Cover?

R Programming for Statistics and Data Science - What Does this Course Cover?

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial introduces a course on statistics and data science using R. The instructor, with a background in cognitive science, emphasizes the importance of R for data analysis and visualization. The course covers R and RStudio setup, basic and advanced R programming, data manipulation, tidy data principles, data visualization with ggplot2, and statistical analysis. Each section includes hands-on projects and resources to enhance learning. The course aims to equip learners with the skills to make data-driven decisions and interpret data patterns effectively.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of R in data science according to the instructor?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of tidying data as mentioned in the course.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What tools and techniques will be used for data visualization in the course?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some of the statistical concepts that will be covered in the course?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the instructor plan to help students who have difficulties with projects?

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