Announcements

  1. Course page is on line (Oct. 5)

 

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise."

 

Link to the sign-up page

Syllabus

Lecture Notes

Week 1: Introduction (ppt)

Week 2: Sampling (part1) (ppt) zoom part1, part2, part 3

Week 3: Sampling (part2) Experiment: zoom part1, part2, part3

 

RHW

 

 

 

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.

 

 

Practice Questions

Chapter 1: Questions, Answers

Chapter 2: Questions, Answers

Chapter 3: Questions, Answers

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.

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After installing the latest R program, download R Studio.

 

References for R

Quick R

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

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