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Link to the sign-up page

# https://www.datacamp.com/groups/shared_links/f3a16d4dac2064f6b15b1146b22298b8d6e532cc

1st Assgnment Due on 22 Oct, 2019. Complete "Introduction to R" course.

2nd Assignment Due on 29 Oct, 2019. Complete "Intermediate to R" course.

3rd Assignment Due on 5 Nov. 2019. "Importing Data in R (part 1)" AND "Importing Data in R (part 2)".

4th Assignment Due on 12 Nov. 2019. "Cleaning Data in R" AND "Importing & Cleaning Data in R: Case Studies"

5th Assignment Due on 19 Nov. 2019. "Introduction to the Tidyverse" AND "Introduction to Function Writing in R"

6th Assignment Due on 3 Dec. 2019. "Data Visualization with ggplot2 (Part 1)" AND "Data Visualization with ggplot2 (Part 2)"

7th Assignment Due on 10 Dec. 2019. "Introduction to Data" AND "Data Manipulation in R with data.table"

8th Assignment Due on 17 Dec. 2019. "Joining Data in R with data.table" AND "Categorical Data in the Tidyverse"

9th Assignment Due on 24 Dec. 2019. "Communicating with Data in Tidyverse"

# Syllabus

Lecture Notes

Week 1: Introduction

Week 2: Sampling 1

Week 3: Data types, Observational Study/Experiment, Describing Data Graphically1

Week 5: Describing Data Graphically 2, Describing Data Numerically

Week 6: Descriving Data Numerically 2

Week 7: Probability 1

Week 9: Probability 2, Random Variables

Week 10: Discrete Probability Distribution 1

Week 11: Discrete Probability Distribution 2

Week 12: Continuous Probability Distribution 1

Week 13: Continuous Probability Distribution 2 (Normal Distribution) clip

Week 14: Continuous Probability Distribution 3 (Normal Approximation, Exponential Distribution)

**RHW**

Group RHW2 Instruction; Honor Code; Contribution Sheet

Group RHW1 Instruction; Honor Code; Contribution Sheet; gpa2019.csv; gpa2019.xlsx

**Lecture Notes**

Quiz Questions

R Learning Tool: Sign up for the free R course at

https://www.datacamp.com/community/open-courses/statistical-inference-and-data-analysis

and self-teach the basic operations of R. You will be more comfortable with R program.\

Podcast: DataFramed (post cast by Datacamp) to learn something about the world of data science and scientists.

**Group Assignment**

**Practice Questions**

Chapter 4: Questions - part 1, part 2, Answers-part1, part2

Chapter 5: Questions - part1, part2, Answers - part1, part2

**R Homework**

**R related**

*Download R program from http://www.r-project.org/

step1: set CRAN (anywhere is fine, just pick one)

step2: select R according to your PC

You can also download a package named "Rcmdr"

step1: set CRAN if you haven't done so

step2: select "Rcmdr" from the list of packages

step3: once downloaded, click "load packages" from Packages tab, then you should see the Rcmdr window pops up.

**************************************************************

After installing the latest R program, download R Studio.

**References for R**

**
Introduction to R Programming Course at Edx (It's FREE!)**

R
ile Uygulamalı Analiz Yöntemleri – I Murat Şirin **(This one
is also FREE!)**