Exploring Data with Quantitative Techniques Using R

Focused View

Martin Burger

2:02:02

23 View

01 - Course Overview

01 - Course Overview.mp4

01:47

02 - Understanding Data Exploration

02 - Introduction.mp4

01:18

03 - Managing Expectations.mp4

03:14

04 - Course Dataset.mp4

06:25

05 - Data Summary.mp4

06:35

06 - Research Questions.mp4

03:20

07 - Summary.mp4

01:13

03 - Sampling a Dataset for Data Exploration

08 - Introduction.mp4

01:32

09 - Using Random Generators for Sampling.mp4

05:00

10 - Reproducing Pseudo-random Processes.mp4

05:57

11 - Sampling a Table with R Base .mp4

03:52

12 - Sampling a Table with Dplyr.mp4

07:25

13 - Summary.mp4

01:49

04 - Summarizing Data to Get an Understanding of New Data

14 - Introduction.mp4

01:52

15 - Count Based Summaries.mp4

04:14

16 - Grouped Multivariate Counts.mp4

04:27

17 - Distributions of Numeric Variables.mp4

08:54

18 - Combined Plot Series.mp4

03:48

19 - Times Series Based Summaries.mp4

06:38

20 - Visualizing Aggregated Data.mp4

07:46

21 - Summary.mp4

01:39

05 - Using Correlation Analysis

22 - Introduction.mp4

01:41

23 - Correlations in Numeric Variables.mp4

04:21

24 - Odds Ratio.mp4

04:32

25 - Logistic Regression for Binary Outcome Variable.mp4

08:10

26 - Visualizing the Traffic between the Airports.mp4

08:31

27 - Course Summary.mp4

06:02

Description

Data exploration is one of the first things you do when analyzing data. It leads the way to further in depth analysis. With this course, you will learn how to use R for data exploration of a large dataset.

What You'll Learn?

Do you want to perform data exploration on a large dataset? In this course, Exploring Data with Quantitative Techniques Using R, you will see why R is a great tool in getting to know your data. The course uses a 3 step approach to explore the NYC flights dataset. First, you will get an initial idea via summary statistics. Then, you will use hypothesis tests and visualizations to work on single variables. Finally, you will use techniques for correlations between multiple variables. On top of that, the course also has a module on data sampling which is especially useful for large datasets. When you are finished with this course, you will have the skills and knowledge of data exploration needed to understand a new dataset. You will also use some outstanding add-on packages for the topic.

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Data Science

Data Mining

R Programming

Martin Burger

Instructor's Courses

Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.