HomeCoursesData-Centric Statistical Inference Using R and Tidyverse

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Data-Centric Statistical Inference Using R and Tidyverse
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Gain insights into data visualization with ggplot2, data wrangling, and modeling in R. Delve into statistical inference using the infer package to enhance your data science skills.
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Overview

The world is full of data and it can be quite challenging to infer the knowledge based on statistical reasoning. This course aims to equip you with the skills you need to play with your data, wrangle it, and visualize it. Starting with data visualization, the course gets learners building ggplot2 graphs early on and then continues to reinforce important concepts graphically throughout the course. After moving through data wrangling and data importing, you’ll be introduced to modeling, which plays a promi...Show More
The world is full of data and it can be quite challenging to infer the knowledge based on statistical reasoning. This course aim...Show More

WHAT YOU'LL LEARN

Working knowledge of R, ModernDive, and tidyverse to process data
Hands-on experience of data preprocessing, wrangling, and visualization
The ability to apply data-centric concepts for regression analysis, sampling, confidence intervals, and hypothesis testing and interpretation
The ability to tell a story using data of different case studies
The ability to infer insights and conclusions from data using different packages
Working knowledge of R, ModernDive, and tidyverse to process data

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Content

1.

Getting Started with Data in R

6 Lessons

Get familiar with data analysis in R, from visualization to coding and practical projects.

2.

Data Visualization

11 Lessons

Get started with visualizing data relationships using ggplot2 in R's Tidyverse framework.

3.

Data Wrangling

9 Lessons

Examine data transformation techniques for efficient analysis using dplyr and Tidyverse.

4.

Data Importing and “Tidy” Data

6 Lessons

Grasp the fundamentals of importing and organizing tidy data using Tidyverse in R.

7.

Statistical Inference with the infer Package

8 Lessons

Master the steps to statistical inference using tactile and virtual sampling techniques, emphasizing randomness and sample sizes.

11.

Tell a Story with Data

4 Lessons

Grasp the fundamentals of effective data storytelling with R, focusing on analysis and visualization.

12.

Appendix

2 Lessons

Dig deeper into R, RStudio, and essential R packages for enhanced data analysis.
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