{"id":68,"date":"2022-02-24T11:18:31","date_gmt":"2022-02-24T08:18:31","guid":{"rendered":"https:\/\/blog.metu.edu.tr\/ceylan\/?page_id=68"},"modified":"2022-02-24T11:23:27","modified_gmt":"2022-02-24T08:23:27","slug":"stat-412-statistical-data-analysis","status":"publish","type":"page","link":"https:\/\/blog.metu.edu.tr\/ceylan\/stat-412-statistical-data-analysis\/","title":{"rendered":"STAT 412: STATISTICAL DATA ANALYSIS"},"content":{"rendered":"

\"\"<\/p>\n

STAT 412_2022_syllabus<\/a><\/p>\n

This class is supported by DataCamp, the most intuitive learning platform for data science. We will focus on the data preprocessing, analysis and machine learning courses in R. I will assign homework covering a whole course or a chapter or a XP point. You will learn the application faster through immediate and personalized feedback on every exercise.<\/p>\n\n\n\n
 <\/strong><\/u>               SOME SOURCES FOR THE COURSE<\/strong><\/p>\n

R FOR BEGINNERS<\/a><\/p>\n

The Friendly Beginners\u2019 R Course<\/a><\/p>\n

Data Analysis Using the R Project<\/a><\/p>\n

Using R for Data Analysis and Graphics<\/a><\/p>\n

Computing for Data Analysis<\/a><\/p>\n

Getting Started with Data Analysis<\/a><\/p>\n

Beginners Guide to R<\/a><\/p>\n

Introduction to R and Exploratory data analysis<\/a><\/p>\n

Graphics and Exploratory Data Analysis in R<\/a><\/p>\n

R Graphics II: Graphics for Exploratory Data Analysis<\/a><\/p>\n

Exploratory Data Analysis in R<\/a><\/p>\n

GGOBI<\/a><\/p>\n

Graphics with R<\/a><\/p>\n

LECTURE NOTES ON DATA MINING_1<\/a><\/p>\n

LECTURE NOTES ON DATA MINING_2<\/a><\/p>\n

LECTURE NOTES ON DATA MINING_3<\/a><\/p>\n

 <\/p>\n

DATA SOURCES<\/p>\n

KDnuggets Datasets<\/a><\/p>\n

UCI Machine Learning Repository<\/a><\/p>\n

Kaggle Datasets<\/a><\/p>\n

Google Public Data Explorer<\/a><\/p>\n

Amazon\u2019s Public Datasets – AWS<\/a><\/p>\n

The Best Free Open Data Sources<\/a><\/p>\n

DataWorld<\/a><\/p>\n

Regression Datasets<\/a><\/p>\n

Free Data Sources<\/a><\/p>\n

R Data Sources<\/a><\/p>\n

Data Sources on the Web<\/a><\/p>\n

R Data Sources for Regression Analysis<\/a><\/p>\n

New Data Sources for R<\/a><\/p>\n

Data Sources <\/a><\/p>\n

The 50 Best Free Datasets for Machine Learning<\/a><\/p>\n

Free Datasets<\/a><\/p>\n

Top Sources For Machine Learning Datasets<\/a><\/p>\n

The Best Public Datasets for Machine Learning and Data Science<\/a><\/p>\n

Open Datasets<\/a><\/p>\n

The KEEL-dataset repository<\/a><\/p>\n

Data Repositories<\/a><\/p>\n

 <\/p>\n

 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

STAT 412_2022_syllabus This class is supported by DataCamp, the most intuitive learning platform for data science. We will focus on the data preprocessing, analysis and machine learning courses in R. I will assign homework covering a whole course or a chapter or a XP point. You will learn the application faster through immediate and personalized […]<\/p>\n","protected":false},"author":6711,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-68","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/users\/6711"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/comments?post=68"}],"version-history":[{"count":0,"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/pages\/68\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.metu.edu.tr\/ceylan\/wp-json\/wp\/v2\/media?parent=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}