Data Wrangling

Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python

Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 20 Hours 14M | 13.8 GB
Genre: eLearning | Language: English

Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.

Data Wrangling with R [repost]  eBooks & eLearning

Posted by naag at March 13, 2017
Data Wrangling with R [repost]

Bradley Boehmke, "Data Wrangling with R"
2016 | ISBN-10: 3319455982 | 238 pages | PDF | 7 MB

Data Wrangling with R [repost]  eBooks & eLearning

Posted by naag at Dec. 30, 2016
Data Wrangling with R [repost]

Bradley Boehmke, "Data Wrangling with R"
2016 | ISBN-10: 3319455982 | 238 pages | PDF | 7 MB

Data Wrangling with R (Use R!)  eBooks & eLearning

Posted by hill0 at Dec. 17, 2016
Data Wrangling with R (Use R!)

Data Wrangling with R (Use R!) by Bradley C. Boehmke
English | 16 Dec. 2016 | ISBN: 3319455982 | 252 Pages | EPUB | 1.09 MB

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process.

Data Wrangling with R  eBooks & eLearning

Posted by arundhati at Nov. 22, 2016
Data Wrangling with R

Bradley Boehmke, "Data Wrangling with R"
2016 | ISBN-10: 3319455982 | 238 pages | PDF | 7 MB

Data Wrangling and Analysis with Python Training Video  eBooks & eLearning

Posted by IrGens at Sept. 16, 2016
Data Wrangling and Analysis with Python Training Video

Data Wrangling and Analysis with Python Training Video
2016-06-15 | SKU: 02364 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 3.5 hours | 1.41 GB
Instructor: Katharine Jarmul

Data Wrangling with R  eBooks & eLearning

Posted by Grev27 at March 1, 2016
Data Wrangling with R

Bradley C. Boehmke, "Data Wrangling with R"
English | ISBN: n/a | 2016 | PDF | 245 pages | 2,6 MB

Data Wrangling with Python: Tips and Tools to Make Your Life Easier  eBooks & eLearning

Posted by Grev27 at Feb. 6, 2016
Data Wrangling with Python: Tips and Tools to Make Your Life Easier

Jacqueline Kazil, Katharine Jarmul, "Data Wrangling with Python: Tips and Tools to Make Your Life Easier"
English | ISBN: 1491948817 | 2016 | PDF/EPUB/MOBI | 508 pages | 10 MB/6 MB/18 MB

OReilly - Expert Data Wrangling with R  eBooks & eLearning

Posted by Max-X at May 2, 2015
OReilly - Expert Data Wrangling with R

OReilly - Expert Data Wrangling with R
English | February 2015 | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1920x1080, 29.97 fps(r) | 3.02 GB
Genre: E-learning

Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work.

Pluralsight - SQL Data Wrangling in Oracle: Table Data [repost]  eBooks & eLearning

Posted by house23 at March 25, 2015
Pluralsight - SQL Data Wrangling in Oracle: Table Data [repost]

Pluralsight - SQL Data Wrangling in Oracle: Table Data
MP4 | AVC 211kbps | English | 1024x768 | 15fps | 5h 18mins | AAC stereo 102kbps | 624 MB
Genre: Video Training

This course describes Oracle functionality useful to the SQL-savvy data analyst, and features topics such as ordering your data with NULLs appearing first or last, using FETCH to subset your data, using SAMPLE to randomly sample from a table, using CROSS APPLY and OUTER APPLY, how to use the MODEL feature to access the rows and columns of a database table like a spreadsheet, generating random numbers, computing occurrences, using nested tables, and much, more.