Gain insights into data manipulation, analysis, and visualization with R. Learn statistical concepts, create insightful visualizations, and empower decision-making to excel in data-centric roles.

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This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields.

You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries.

After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.

Introduction to Data Analysis and Visualization with R

Which value is the highest in a right-skewed dataset?

Which value is the highest in a right-skewed dataset?

Which distribution has the same probability of occurrence for all observations?

Which distribution has the same probability of occurrence for all observations?

The distribution of the averages of a large number of samples from any type of data approximates a normal distribution.

In a normal distribution, the data within the 2 standard deviation range from the mean makes up 95% of the total.

The mean is bigger than the median in left-skewed data.

Variance equals the square of the standard deviation.

According to the central limit theorem, which one of the following is correct? 

According to the central limit theorem, which one of the following is correct?

The difference between the mean and the median

The difference between the mode and the median

The difference between the maximum and the minimum values

The difference between the 25th percentile and the 75th percentile

A statistical measure to compare the variability between two sets of data used in hypothesis testing

A range of possible values that the true population parameter is likely to fall within, with a certain level of likelihood

A measure of the number of standard deviations a data point is from the mean of a dataset

A statistical measure representing the extreme probability of observing a test statistic, assuming that the null hypothesis is true.

To measure the 90% confidence interval of salaries

To test the independence of two categorical variables

To compare the means of two or more independent groups

To define the maximum and the minimum values in data

In which situation do we use the ANOVA?

What is *not* a method to test the normality of data?

What is not a method to test the normality of data?

Level of significance ($\alpha$) < F-value

p-value < Level of significance ($\alpha$)

F-value < Level of significance ($\alpha$)

Level of significance ($\alpha$) < p-value

Which condition indicates that the null hypothesis is rejected?

Which condition indicates that the null hypothesis is rejected?

A zoologist wants to ensure that a newly encountered ant breed is not a known breed. The length of the antenna is an important factor in distinguishing the breeds from each other. We have data on antenna length for samples from various breeds. Which statistical test should we use to ensure that the breed is unique?

A zoologist wants to ensure that a newly encountered ant breed is not a known breed. The length of the antenna is an important factor in distinguishing the breeds from each other. We have data on antenna length for samples from various breeds. Which statistical test should we use to ensure that the breed is unique?

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Quiz on Statistical Analysis