IT & Software Pluralsight – Exploratory Data Analysis (EDA) with R

Currently reading:
 IT & Software Pluralsight – Exploratory Data Analysis (EDA) with R

Covers web development, programming, AI, cloud computing, DevOps, and cybersecurity.

baladia

Member
Amateur
LV
4
Joined
Feb 22, 2024
Threads
1,154
Likes
83
Awards
9
Credits
24,497©
Cash
0$
87a7c16abab8266f9c411c8b0be65d7a.jpeg

Released 12/2024
By Dr. Ali Feizollah
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 37m | Size: 98 MB


Learn to analyze data distributions, explore variable relationships, and identify data quality issues using R. This course will help you interpret distributions and improve decision-making through effective data analysis.
Business decisions often fail due to poor understanding of data patterns, relationships, and quality issues in the analysis phase. In this course, Exploratory Data Analysis (EDA) with R, you'll gain the ability to thoroughly analyze data for better decision-making. First, you'll explore how to summarize and interpret data distributions using descriptive statistics. Next, you'll discover patterns and relationships between variables through correlation analysis and grouped summaries. Finally, you'll learn how to identify and assess data quality issues including missing values, outliers, and inconsistencies. When you're finished with this course, you'll have the skills and knowledge of statistical analysis needed to perform comprehensive exploratory data analysis and ensure reliable insights for decision-making.

Link:
 

Create an account or login to comment

You must be a member in order to leave a comment

Create account

Create an account on our community. It's easy!

Log in

Already have an account? Log in here.

Tips

Similar threads

Top Bottom