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Chapter 1

Getting acquainted with data

In this chapter, we will describe and visualize different kinds of data and learn how to deal with missing data using R programming.
5 Lessons
14:48 min
Getting acquainted with data intro
0:32 min
Describing data
5:03 min
Visualizing data
6:18 min
Dealing with missing data
2:55 min
Getting acquainted with data quiz
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Chapter 2

Performing statistical tests

To understand and validate your research findings, you must test hypotheses, including performing t-tests, analyzing variance, and more. We will cover these topics in this chapter.
9 Lessons
44:05 min
Performing statistical tests intro
0:30 min
Testing hypotheses
8:52 min
Performing a t-test
4:45 min
Carrying out an analysis of variance
3:06 min
Performing a chi-square test
3:50 min
Interpreting a linear regression
8:30 min
Appreciating non-parametric testing
3:47 min
Putting it all together
10:45 min
Performing statistical tests quiz
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Chapter 3

Assessing research methods

This chapter explains qualitative and quantitative research methods, how to compare case-control and cohort studies, execute randomized controlled trials, and evaluate risk.
7 Lessons
15:29 min
Assessing research methods intro
0:39 min
Distinguishing between quantitative and qualitative methods
2:24 min
Comparing case-control and cohort studies
2:54 min
Executing randomized controlled trials
2:58 min
Evaluating risk
6:02 min
Assessing research methods quiz
Quiz
Essentials of Statistics outro
0:32 min
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