Get the crucial data analysis and visualization skills you need for any data job. You’ll learn the fundamentals of R to prepare, explore, analyze and build data visualizations. By the end, you’ll be able to convey insightful stories and help make data-driven decisions.
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4.8 (359 reviews)
- Intermediate friendly
- 9 months (10 hrs/wk)
- Self paced
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Otávio Silveira
Data Analyst @ HortifrutiPath overview
In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you’ll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more. You’ll learn how to use R programming and ggplot2 to create meaningful data visualizations. Ggplot2, which is a part of tidyverse, is an R package for data visualization. It’s one of the most versatile and easy-to-use tools for creating elegant graphics using R, and it’s the main focus of this path.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
Visualizing changes over time using line graphs- Using histograms to understand data distributions
- Comparing groups using bar charts and box plots
- Understanding relationships between variables using scatter plots
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