We recommend the following R Career Tracks
Associate Data Scientist
Learn how to use R for data science, from data manipulation to machine learning, and gain the career-building R skills you need to succeed as a data scientist. As you progress through the courses in this track, you’ll explore how learning data science with R can help you to import, clean, manipulate, and visualize data. R is a versatile language for any aspiring data professional or researcher, and by learning the integral skills, you’ll develop a solid foundation for your data science journey. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including tidyverse packages like ggplot2, dplyr, and readr. You’ll work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. Start this track, grow your R programming and data science skills, and begin your journey to confidently pass the Associate Data Scientist in R certification and thrive as a data scientist.
Data Analyst
Gain the career-building R skills you need to succeed as a data analyst! No prior coding experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data in R—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr. You’ll also develop your data manipulation and exploratory data analysis skills by working with a wide range of real-world datasets, including everything from U.S. income data to global food consumption. You’ll then gain the statistical skills you'll need to perform hypothesis testing. Start this track, grow your R skills, and begin your journey to becoming a confident data analyst.
Data Scientist
Master the skills you need to pass the Data Scientist in R certification and prepare yourself for success in the field of data science. As you progress through the courses in this track, you will focus on using R for data science. You will explore how learning data science with R can help you to import, clean, manipulate, and visualize data, and develop a solid foundation for your data science journey. You’ll cover a range of different skills, including data manipulation, visualization, and analysis, using popular R packages like ggplot2, dplyr, and readr. You will work with real-world datasets as you write your own functions and learn foundational statistical and machine learning techniques. You will also gain an understanding of SQL for relational databases and Git for data science projects, two essential tools for any data scientist. Through interactive exercises, you will get hands-on experience with R programming and the popular packages used in the field of data science. Completing this track will give you the knowledge and experience necessary to confidently pass the Data Scientist in R certification and thrive as a data scientist.
R Developer
Gain the career-building R programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in R. No prior coding experience is required, you can start your journey to becoming an R developer today! In this track, you'll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs. As you become more comfortable with these skills, you'll move on to learn about writing functions in R and object-oriented programming—an essential skill for R developers working with large and complex programs. Through interactive exercises, you'll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation. By the time you finish this track, you’ll have a firm grasp of what’s needed to become an R developer and have the skills to get started as one.
Statistician
Master the essential skills to land a job as a statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you'll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets, and interpret and report findings.
Quantitative Analyst
In finance, quantitative analysts ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
Machine Learning Scientist
Master the essential skills to land a job as a machine learning scientist! You'll augment your R programming skillset with the toolbox to perform supervised and unsupervised learning. You'll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you'll get an introduction to Bayesian statistics, natural language processing, and Spark.
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