Modeling Data in the Tidyverse
- Offered byCoursera
Modeling Data in the Tidyverse at Coursera Overview
Duration | 21 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Modeling Data in the Tidyverse at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 5 of 5 in the Tidyverse Skills for Data Science in R Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 21 hours to complete
- English Subtitles: English
Modeling Data in the Tidyverse at Coursera Course details
- Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships.
- This course covers the types of questions you can ask of data and the various modeling approaches that you can apply. Topics covered include hypothesis testing, linear regression, nonlinear modeling, and machine learning. With this collection of tools at your disposal, as well as the techniques learned in the other courses in this specialization, you will be able to make key discoveries from your data for improving decision-making throughout your organization.
- In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.
Modeling Data in the Tidyverse at Coursera Curriculum
Modeling Data Basics
Course Textbook
The Purpose of Data Science
Types of Data Science Questions
Data Needs
Number of observations is too small
Dataset does not contain the exact variables you are looking for
Variables in the dataset are not collected in the same year
Dataset is not representative of the population that you are interested in
Some variables in the dataset are measured with error
Variables are confounded
Descriptive and Exploratory Data Analysis
Missing Values
Shape
Identifying Outliers
Evaluating Variables
Evaluating Relationships
Modeling Data Basics Quiz
Inference
Inference
Uncertainty
Random Sampling
Inference Quiz
Linear Modeling
Linear Regression
Assumptions
Association
Association Testing in R
Fitting the Model
Model Diagnostics
Tree Girth and Height Example
Interpreting the Model
Variance Explained
Using broom
Correlation Is Not Causation
Confounding
Linear Regression Quiz
Multiple Linear Regression
Multiple Linear Regression
Multiple Linear Regression Quiz
Beyond Linear Regression
Beyond Linear Regression
Mean Different From Expectation?
Testing Mean Difference From Expectation in R
Hypothesis Testing
More Statistical Tests
Hypothesis Testing
The infer Package
Hypothesis Testing Quiz
Prediction Modeling
Prediction Modeling
What is Machine Learning?
Machine Learning Steps
Data Splitting
Train, Test, Validate
Train
Test
Validate
Variable Selection
Model Selection
Regression vs. Classification
Model Accuracy
Prediction and Machine Learning Quiz
The tidymodels Ecosystem
The tidymodels Ecosystem
Benefits of tidymodels
Packages of tidymodels
Example of Continuous Variable Prediction
Example of Categorical Variable Prediction
tidymodels Quiz
Case Studies
Case Study #1: Predicting Annual Air Pollution
The Data
Data Import
Data Exploration and Wrangling
Evaluate Correlation
Splitting the Data
Making a Recipe
Running Preprocessing
Specifying the Model
Assessing the Model Fit
Model Performance: Getting Predicted Values
Visualizing Model Performance
Quantifying Model Performance
Assessing Model Performance on v -folds Using tune
Random Forest
Model Tuning
Final model performance evaluation
Summary of tidymodels
Summary of tidymodels
Project: Modeling Data in the Tidyverse
Important information before you start the quiz
C?ourse Project Prediction Quiz
Modeling Data in the Tidyverse at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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