Packt - Exploratory Data Analysis with R

[ FreeCourseWeb.com ] Packt - Exploratory Data Analysis with R



Download More Latest Courses Visit -->> https://FreeCourseWeb.com







Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 4h 43m

Genre: eLearning | Language: English | Size: 1.83 GB



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

Key Features

Explore the most popular and advanced R package to place you on the cutting-edge of technology

Learn what you need to do when you see your data for the first time, through to when you make it ready for modeling activities, and pitfalls to avoid along the way

Includes data and code to practice every concept introduced within the course, to consolidate your learning and turn EDA into a habit



What You Will Learn

Set up your data and code to avoid mistakes and ensure reproducibility

Really understand the structure and content of your data

Build clear plots to evaluate the distribution of your data with ggplot

Construct summaries of your variables with dplyr

Implement data cleaning and validation tasks to get your data ready for data mining activities

Test a hypothesis or check assumptions related to a specific model

Estimate parameters and figure the margins of error



About

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.



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



Download More Latest Courses Visit -->> https://FreeCourseWeb.com



Get Latest Apps Tips and Tricks -->> https://AppWikia.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...