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Introduction to Data Analysis and Visualization with R
1.
Getting Started
Introduction to the Course
Common R Packages for Data Analysis
Ready-to-Use Datasets in R
Quiz on the Fundamentals of R
2.
File Management
Read and Load Data in R
Save Data in Files in R
Quiz on File Management
3.
Data Structures
Data Types in R
Data Coersion in R
Strings in R
Vectors in R
Lists in R
Matrices in R
Factors in R
Quiz on Data Structures
Challenge: Calculate String Length
Solution: Calculate String Length
4.
Data Cleaning
Data Frames in R
Modify Data Frames Using R
Explore Data Using R
Delete and Add Data Using R
Select and Filter Data Using R
Sort and Shuffle Data Using R
Change Data Types Using R
Mutate Data Using R
Quiz on Data Cleaning
Challenge: Clean Data
Solution: Clean Data
5.
Statistical Analysis
Descriptive Statistics
Data Distribution
Inferential Statistics
Hypothesis Testing
Confidence Interval
Student's T-test
ANOVA (Analysis of Variance)
Chi-Squared Test
Correlation Tests
Normality Test
Regression Analysis
Quiz on Statistical Analysis
Challenge: Lookup Case Study
Solution: Lookup Case Study
6.
Data Transformation
Data Aggregation in R
Crosstabs and Pivot Tables in R
Dealing With Missing Values in R
Normalization and Data Scaling in R
Dealing With Outliers in R
Encode Categorical Data Using R
Quiz on Data Transformation
Challenge: Help Patients
Solution: Help Patients
7.
Data Visualization
Introduction to Chart Functions in R
Introduction to the ggplot2 Library
Deciding on the Plot Type
Line Plots
Bar Plots
Pie Charts
Scatter Plots
Box Plots
Histograms
Density Plots
Area Plots
Combining Plots
Subplots in R
Saving Plots
Quiz on Data Visualization
Challenge: Visualize the Data
Solution: Visualize the Data
Task: Netflix Shows and Movies
Project
Premium
Uber Data Analysis Using the R Language
8.
Conclusion
Wrap-up
Assessment
Evaluation
Mini Project
Premium
Netflix Shows
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Introduction to Data Analysis and Visualization with R
Netflix Shows
This project is an example of data analysis and visualization using public data from Netflix shows.