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Associate Data Scientist in R

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Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!
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R88 hours55,631

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Track Description

Associate Data Scientist in R

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.

Prerequisites

There are no prerequisites for this track
  • Course

    1

    Introduction to R

    Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

  • Course

    Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

  • Course

    Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

  • Project

    bonus

    Analyze the Popularity of Programming Languages

    Analyze the relative popularity of programming languages over time based on Stack Overflow data.

  • Course

    Learn to combine data across multiple tables to answer more complex questions with dplyr.

  • Course

    11

    Data Communication Concepts

    No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

  • Course

    Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

  • Course

    Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

  • Course

    Master sampling to get more accurate statistics with less data.

  • Course

    Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

  • Course

    In this course you'll learn about basic experimental design, a crucial part of any data analysis.

  • Course

    In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

  • Course

    This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Associate Data Scientist in R
22 courses
Track
Complete

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