Data Analysis 101 with R | CodeSignal Learn

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intermediate

Data Analysis 101 with R

Data Science & Analytics

6 courses

108 practices

14 hours

Dive into the world of data analysis with our comprehensive learning path specifically designed for R. This course series is aimed at constructing a robust understanding of data analysis, allowing you to interpret, visualize, and communicate data effectively.

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1,016 learners

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Verified skills you'll gain

INTERMEDIATE

Coding and Data Algorithms

ADVANCED

Data Cleaning and Preprocessing

INTERMEDIATE

Data Visualization and Reporting

ADVANCED

Mathematics and Statistics

Tools you'll use

R

Tidyverse

Course 1

Data Manipulation in R

4 lessons

15 practices

Deep dive into data manipulation using dplyr in R. Understand and apply various dplyr functions for selecting, filtering, summarizing, and mutating data.

Course 2

Statistical Analysis with R

5 lessons

21 practices

Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.

Course 3

Data Cleaning and Preprocessing with R

4 lessons

17 practices

Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.

Course 4

Advanced Data Transformation Techniques

5 lessons

20 practices

Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.

Course 5

Hypothesis Testing in R

4 lessons

15 practices

Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.

Course 6

Data Visualization with ggplot2

5 lessons

20 practices

Discover the power of data visualization in R using the ggplot2 package. Learn how to craft clear, informative, and appealing visual representations of data.

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