HomeCoursesData-Centric Statistical Inference Using R and Tidyverse

Beginner

17h

Data-Centric Statistical Inference Using R and Tidyverse

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.

Overview

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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 prominent role, with a focus on building regression models and inference for regression. Lastly, statistical inference is presented through a computational lens with calculations done via the infer package. By the end of this course, you’ll develop your data science toolbox, equipping yourself with tools such as data visualization, data formatting, data wrangling, and data modeling using regression.

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

Learning Roadmap

99 Lessons10 Quizzes

Getting Started with Data in R

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

Getting Started

How Do We Code in R?

Tips on Learning to Code

Explore Our First Dataset

Exploring Data Frames

Test Your Skills on Getting Started with Data in R

Data Visualization

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

The Grammar of Graphics

When to Avoid Pie Charts

Recap: Data Visualization

Test Your Skills on Data Visualization

Data Wrangling

9 Lessons

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

Data Importing and “Tidy” Data

6 Lessons

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

Basic Regression

13 Lessons

Map out the steps for basic regression principles using R and Tidyverse functionalities.

Multiple Regression

9 Lessons

Tackle multiple regression, interaction models, residuals, and model selection using visualizations.

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.

Bootstrapping and Confidence Intervals

13 Lessons

Sharpen your skills in bootstrapping, resampling, and constructing confidence intervals using the infer package.

Hypothesis Testing

9 Lessons

Unpack the core of hypothesis testing, evaluating gender discrimination, movie ratings, and theory-based methods.

10.

Inference for Regression

9 Lessons

Master the steps to analyze, interpret, and infer regression relationships using theory and simulations.

Price Prediction With Regression Analysis in R

Project

Premium

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.

Uber Data Analysis Using the R Language

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Dr. Chester Ismay

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Meet the Instructor

Dr. Chester Ismay

Software Engineer at Educative

Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who've shipped production code at scale and taught the theory behind it. No videos, no fluff.

Learn more about Dr.

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