diff --git a/books/free-programming-books-langs.md b/books/free-programming-books-langs.md index 92e7e440565d2..c0ab31fc75d7a 100644 --- a/books/free-programming-books-langs.md +++ b/books/free-programming-books-langs.md @@ -1583,13 +1583,14 @@ Books on general-purpose programming that don't focus on a specific language are * [Learn Markdown](https://www.gitbook.com/book/gitbookio/markdown/details) - Sammy P., Aaron O. (PDF) (EPUB) (MOBI) -### Mathematica +### Mathematical * [Mathematica® programming: an advanced introduction](http://www.mathprogramming-intro.org) - Leonid Shifrin * [Power Programming with Mathematica](http://mathematica.stackexchange.com/questions/16485/are-you-interested-in-purchasing-david-wagners-power-programming-with-mathemat/22724) - David B. Wagner * [Stephen Wolfram's The Mathematica Book](http://reference.wolfram.com/legacy/v5_2/) * [Vector Math for 3d Computer Graphics](http://chortle.ccsu.edu/VectorLessons/index.html) (CC BY-NC) * [Wolfram Mathematica Product Training: Wolfram U](https://www.wolfram.com/wolfram-u/catalog/product-training/mathematica/) +* [Practical Statistics](https://github.com/Chandra0505/Data-Science-Resources/blob/master/machine-learning/Practical%20Statistics%20for%20Data%20Scientists.pdf) -Andrew Bruce, Peter Bruce, and Peter Gedeck ### MATLAB diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md index b360f40fd2a85..c934c224c1897 100644 --- a/courses/free-courses-en.md +++ b/courses/free-courses-en.md @@ -521,6 +521,7 @@ * [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/) * [An Introduction to Data Science](https://www.udemy.com/course/an-introduction-to-data-science/) +* [Practical Statistics for Data Science](https://github.com/Chandra0505/Data-Science-Resources/blob/master/machine-learning/Practical%20Statistics%20for%20Data%20Scientists.pdf) -Andrew Bruce, Peter Bruce, and Peter Gedeck * [Apache Airflow Tutorials](https://www.youtube.com/playlist?list=PLYizQ5FvN6pvIOcOd6dFZu3lQqc6zBGp2) - Tuan Vu * [Applied Data Science with Python](https://cognitiveclass.ai/learn/data-science-with-python) - CognitiveClass.ai * [Big Data Engineering Course](https://www.youtube.com/playlist?list=PLLa_h7BriLH2UYJIO9oDoP3W-b6gQeA12) - Data Engineering diff --git a/more/free-programming-cheatsheets.md b/more/free-programming-cheatsheets.md index d42e7cac5cdb9..7c9e748d785b9 100644 --- a/more/free-programming-cheatsheets.md +++ b/more/free-programming-cheatsheets.md @@ -11,6 +11,8 @@ * [Dart](#dart) * [Data Science](#data-science) * [Data Structures and Algorithms](#data-structures-and-algorithms) +* [Data Base And Management System](#data-base-and-management-system) +* [DBMS] (#data-structures-and-algorithms) * [Docker](#docker) * [Git](#git) * [Go](#go) @@ -143,6 +145,9 @@ * [Data Structures and Algorithms Cheat Sheet - Cheatography](https://cheatography.com/burcuco/cheat-sheets/data-structures-and-algorithms/) * [Data structures and algorithms study cheatsheets for coding interviews](https://www.techinterviewhandbook.org/algorithms/study-cheatsheet/) +### Data Base And Management System + +* [DBMS Cheat Sheet](https://www.tutorialspoint.com/dbms/pdf/dbms_quick_guide.pdf) - DBMS ### Docker