In this specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions. You will also communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.

WHAT YOU WILL LEARN

• Analyze and visualize data.
• Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients.
• Fit, examine, and utilize regression models to examine relationships between multiple variables.
• Install and use R and RStudio.

SKILLS YOU WILL GAIN

• R Programming
• Data Analysis
• Data Visualization (DataViz)
• Linear Regression
• Statistical Inference
• Statistics
• RStudio
• Exploratory Data Analysis
• Statistical Hypothesis Testing
• Regression Analysis
• Bayesian Statistics
• Bayesian Linear Regression