# Reproducible Research Course
This logbook records the progress that was made during the MOOC course. 
This course on reproducible research gave me useful insights about note 
taking and why it is so impotant to have an efficent way of recording our 
research data. 

Below are the contents that I learned in each module 

## Module 1
The key points that i find interesting by following this module are mentioned 
below

- it was very logically explained that note taking concerns everyone. A history recap of note taking was thouroughly discussed. 
- Interviews of different reserarchers and how they record/keep their notebooks. 
- Text files (UTF 8 characters) is the best way to record information for long term. 
- Tutorials on markdown for making a md file and then pandoc for conversion into other file formats. (link to the more information on [markdown](https://en.wikipedia.org/wiki/Markdown#Example) and [pandoc](https://pandoc.org/MANUAL.html)
- using Gitlab and learnt various features of it , such as version control
- Learnt How to use Docfetch desktop search engine to quickly find relevant files on your HD. 
- Learnt How to use ExifTool to add metadata to a JPEG file and, in the process, how to add labels or keywords to such a file.
- passed all the quizes of this module. 
- All exercises for this module


## Module 2

The key points that were covererd in this module are below
- Watched videos on controversial studies on the aspects of reproducible research
- Rediscover jupyter notebook, computational notenbooks
- Did exercises on jupyter notebook such as calculation of pi and statistics on a dataframe
- commit the exercises 
- passed quizes
- wrote on logbook


## Module 3
The key points that were covererd in this module are below

- Learnt about replicable anlysis
- rediscover data imports in jupyter
- performed case study with influenza, analysis performed
- repeat the analysis on chicken pox
- complete the exercise
- pass quizess
-