Path overview
In this path, you’ll learn the fundamentals of R and build upon them with more advanced skills. You’ll learn how to use RStudio, applications and tools, tidyverse, DataFrames, tibbles, operators, expressions, and much more – as well as data visualization, graphs, plots, and charts.
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
- Programming with R to perform complex statistical analysis of large datasets
- Performing SQL queries and web-scraping to explore and extract data from databases and websites
- Performing efficient data analysis from start to finish
- Building insightful data visualizations to tell stories
Path outline
Part 2: Data Visualization in R [1 course]
Part 3: Data Cleaning in R [2 courses]
Part 4: Working with Data Sources Using SQL [6 courses]
Part 5: APIs and Web Scraping in R [2 courses]
Part 6: Probability and Statistics [5 courses]
Part 7: Predictive Modeling and Machine Learning in R [2 courses]
Part 8: Shiny Applications in R [1 course]
Projects in this path
Investigating COVID-19 Virus Trends
For this project, you’ll be a data analyst investigating a real COVID-19 dataset. You’ll use R to manipulate and analyze the data, building in-demand skills as you find countries with the highest positive test rates.
Creating An Efficient Data Analysis Workflow
For this project, you’ll act as a data analyst for a company selling programming books to analyze sales data and extract useful insights to determine the most profitable titles.
Creating An Efficient Data Analysis Workflow, Part 2
For this project, you’ll be a data analyst at a book company using R to clean sales data and analyze if a new program successfully boosted purchases and review sentiment.
Analyzing Forest Fire Data
For this project, we’ll step into the role of data analysts to explore a dataset on forest fires. Using R and data visualization techniques, we’ll analyze trends and factors related to fire occurrence and severity.
NYC Schools Perceptions
For this project, you’ll become a data analyst using R Notebooks to clean, reshape and visualize NYC school survey data, uncovering insights into school quality perceptions.
Plus 13 more projects
Build your project portfolio with the Data Analyst in R path.
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
Master skills faster with Dataquest
Go from zero to job-ready
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Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
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Share the evidence of your hard work with your network and potential employers.
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