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IT : Online R Programming Course | Exploratory Data Analysis With R

R Courses & Training, Online R Programming Course, Beginner R Courses & Training, Advanced R Courses & Training,


Simpliv LLC

Summary

Price
£589.77 inc VAT
Or £65.53/mo. for 9 months...
Study method
Online
Duration
5 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Overview

Please note that basic knowledge of R and R Studio, together with some knowledge of descriptive statistics, are key to getting the best out of this course.

Certificates

Certificate of completion

Digital certificate - Included

Description

Harness the skills to analyze your data effectively with EDA and R.

The greatest number of mistakes and failures in data analysis comes from not performing adequate Exploratory Data Analysis (EDA). Lack of EDA knowledge can expose you to the great risk of drawing incorrect, and potentially harmful, conclusions from your data analysis.

In this course, you will learn how EDA helps you draw conclusions to make better sense of your data and implement correct techniques. We'll begin with a brief introduction to EDA, its importance, and advantages over BI tools. Using R libraries like dplyr and ggplot2, we will generate insights and formulate relevant questions for investigation and communicate the results effectively using visualizations. You will learn how to spot missing data and errors, validate assumptions, and identify the patterns for understanding the problem. Based on this, you’ll be able to select a correct ML model to use for your data.

By the end of the course, you will be able to quickly get know and interpret various kinds of data sets you will be presented with, and easily understand how to handle and work with them in order to make them ready for further modeling activities.

Here's the link to the GitHub repo to this course: https://github.com/PacktPublishing/Exploratory-Data-Analysis-with-R

Please note that basic knowledge of R and R Studio, together with some knowledge of descriptive statistics, are key to getting the best out of this course.

About the Author

  • Andrea Cirillo is a Senior Audit Quantitative Analyst at Intesa Sanpaolo Banking Group. He works daily with copious volumes of "messy" data for the purpose of auditing credit risk models. This has prompted him to develop the key skills needed to succeed in Exploratory Data Analysis (EDA). Andrea is also an active contributor to the R community with well-received packages like updateR and paletteR. He recently focused resolving some of his R-related pain-points by helping R users draw the most out of their data through effective data visualization tools like the dataviz bot Vizscorer.

Requirements

  • Basic knowledge of R and R Studio, together with some knowledge of descriptive statistics, are key to getting the best out of this course

Career path

R Language

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FAQs

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