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I have read and understand GitHub’s Guide to Filing a DMCA Notice.
My name is [private] and I represent Udacity, Inc. It was recently brought to our attention that the GitHub user “dts50” has pages hosted through your service containing stolen Udacity content taken from Udacity paid courses, under the main directory https://github.com/dts50/dts50.github.io and specifically contained in each of the below directories which are included later in this notice.
This entire repository represents infringement, as the stolen Udacity content from this directory is, in its entirety, used to present said stolen content through the Github page linked below.
https://dts50.github.io/Data%20Scientist%20Nanodegree%20%20v5.0.0/index.html
While these directories contain web pages and presentation consisting of a full capture (“rip”) of Udacity’s paid content, as an illustrative point, below are links to specific pages containing unauthorized and infringing video content (MP4 files) from only the first five of the one hundred and ten directories, which are then listed afterwards as html linked text.
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/01.%20%E6%AC%A2%E8%BF%8E-SaSzn718doY.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/02.%20Meet%20The%20Instructors-XAU2Nf51vfU.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/03.%20Arvato%20Final%20Project-qBR6A0IQXEE.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/03.%20Build%20A%20Recommendation%20Engine%20IBM-A0rVwTbntf4.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/03.%20Figure%208%20Project-QbLVh5GTuJQ.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2001_Welcome%20to%20the%20Nanodegree%20Program/04.%20L1%2006%E5%AD%A6%E4%B9%A0%E5%BB%BA%E8%AE%AE-JRnZOZR97QQ.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2003_The%20Skills%20That%20Set%20You%20Apart/01.%20%E6%95%B0%E6%8D%AE%E7%A7%91%E5%AD%A6%E5%AE%B6%E5%88%B0%E5%BA%95%E9%83%BD%E5%9C%A8%E5%81%9A%E4%BB%80%E4%B9%88%EF%BC%9F-sN2DbIJUZmw.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2001-Module%2001-Lesson%2003_The%20Skills%20That%20Set%20You%20Apart/05.%20Richard%20Sharp%20Data%20Science-r0BCM6vhl0Q.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/04.%20Business%20And%20Data%20Understanding%20-%20Example-bXQTGS61BU8.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/05.%20Using%20Workspaces-45N9NK6kQ0Y.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/07.%20A%20Look%20at%20the%20Data-vPHVUYvCNGE.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/09.%20Business%20And%20Data%20Understanding%20-%20Part%202-iInjuIgBWIo.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/13.%20How%20to%20Break%20Into%20the%20Field%20Solution-Db_2Lmwo4EY.mp4
https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/14.%20Bootcamps-l2tYmee3kxo.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/19.%20The%20Data%20Science%20Process%20Modeling-bzR6HQBn5CA.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/21.%20Predicting%20Salary-HTp4LA1MJh8.mp4
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https://github.com/dts50/dts50.github.io/blob/main/Data%20Scientist%20Nanodegree%20%20v5.0.0/Part%2002-Module%2001-Lesson%2001_The%20Data%20Science%20Process/43.%20Putting%20It%20All%20Together-3SX4dMZPNEI.mp4
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Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program
Part 01-Module 01-Lesson 02_Get Help with Your Account
Part 01-Module 01-Lesson 03_The Skills That Set You Apart
Part 01_Welcome to the Nanodegree program/Module 01_Welcome to the Nanodegree program
Part 02-Module 01-Lesson 01_The Data Science Process
Part 02-Module 01-Lesson 02_Communicating to Stakeholders
Part 02-Module 01-Lesson 03_Project Writing a Data Scientist Blog Post
Part 02-Module 01-Lesson 04_Optimize Your GitHub Profile
Part 02_Introduction to Data Science/Module 01_Introduction to Data Science
Part 03-Module 01-Lesson 01_Introduction to Software Engineering
Part 03-Module 01-Lesson 02_Software Engineering Practices Pt I
Part 03-Module 01-Lesson 03_Software Engineering Practices Pt II
Part 03-Module 01-Lesson 04_Introduction to Object-Oriented Programming
Part 03-Module 01-Lesson 05_Portfolio Exercise Upload a Package to PyPi
Part 03-Module 01-Lesson 06_Web Development
Part 03-Module 01-Lesson 07_Portfolio Exercise Deploy a Data Dashboard
Part 03_Software Engineering/Module 01_Software Engineering
Part 04-Module 01-Lesson 01_Introduction to Data Engineering
Part 04-Module 01-Lesson 02_ETL Pipelines
Part 04-Module 01-Lesson 03_NLP Pipelines
Part 04-Module 01-Lesson 04_Machine Learning Pipelines
Part 04-Module 01-Lesson 05_Project Disaster Response Pipeline
Part 04-Module 01-Lesson 06_Take 30 Min to Improve your LinkedIn
Part 04_Data Engineering/Module 01_Data Engineering
Part 05-Module 01-Lesson 01_Intro to Experiment Design and Recommendation Engines
Part 05-Module 01-Lesson 02_Concepts in Experiment Design
Part 05-Module 01-Lesson 03_Statistical Considerations in Testing
Part 05-Module 01-Lesson 04_AB Testing Case Study
Part 05-Module 01-Lesson 05_Portfolio Exercise Starbucks
Part 05-Module 01-Lesson 06_Introduction to Recommendation Engines
Part 05-Module 01-Lesson 07_Matrix Factorization for Recommendations
Part 05-Module 01-Lesson 08_Recommendation Engines
Part 05_Experimental Design & Recommendations/Module 01_Experimental Design & Recommendations
Part 06-Module 01-Lesson 01_Data Scientist Capstone
Part 06_Data Scientist Capstone/Module 01_Data Scientist Capstone/Lesson 01_Data Scientist Capstone
Part 07-Module 01-Lesson 01_Congratulations!
Part 07_Congratulations/Module 01_Congratulations/Lesson 01_Congratulations!
Part 08-Module 01-Lesson 01_Neural Networks
Part 08-Module 01-Lesson 02_Deep Neural Networks
Part 08-Module 01-Lesson 03_Convolutional Neural Networks
Part 08_[Capstone Content] Convolutional Neural Networks/Module 01_[Capstone Content] Convolutional Neural Networks
Part 09-Module 01-Lesson 01_Introduction to the Course
Part 09-Module 01-Lesson 02_The Power of Spark
Part 09-Module 01-Lesson 03_Data Wrangling with Spark
Part 09-Module 01-Lesson 04_Debugging and Optimization
Part 09-Module 01-Lesson 05_Machine Learning with Spark
Part 09-Module 01-Lesson 06_[DSND Capstone] Cloud Deployment Instructions
Part 09_[Capstone Content] Spark/Module 01_[Capstone Content] Spark
Part 10-Module 01-Lesson 01_Why Python Programming
Part 10-Module 01-Lesson 02_Data Types and Operators
Part 10-Module 01-Lesson 03_Control Flow
Part 10-Module 01-Lesson 04_Functions
Part 10-Module 01-Lesson 05_Scripting
Part 10-Module 01-Lesson 06_NumPy
Part 10-Module 01-Lesson 07_Pandas
Part 10_Prerequisite Python for Data Analysis/Module 01_Prerequisite Python for Data Analysis
Part 11-Module 01-Lesson 01_Basic SQL
Part 11-Module 01-Lesson 02_SQL Joins
Part 11-Module 01-Lesson 03_SQL Aggregations
Part 11-Module 01-Lesson 04_SQL Subqueries & Temporary Tables
Part 11-Module 01-Lesson 05_SQL Data Cleaning
Part 11-Module 01-Lesson 06_[Advanced] SQL Window Functions
Part 11-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning
Part 11_Prerequisite SQL/Module 01_Prerequisite SQL
Part 12-Module 01-Lesson 01_Data Visualization in Data Analysis
Part 12-Module 01-Lesson 02_Design of Visualizations
Part 12-Module 01-Lesson 03_Univariate Exploration of Data
Part 12-Module 01-Lesson 04_Bivariate Exploration of Data
Part 12-Module 01-Lesson 05_Multivariate Exploration of Data
Part 12-Module 01-Lesson 06_Explanatory Visualizations
Part 12-Module 01-Lesson 07_Visualization Case Study
Part 12_Prerequisite Data Visualization/Module 01_Prerequisite Data Visualization
Part 13-Module 01-Lesson 01_Shell Workshop
Part 13_Prerequisite Command Line Essentials/Module 01_Prerequisite Command Line Essentials/Lesson 01_Shell Workshop
Part 14-Module 01-Lesson 01_What is Version Control
Part 14-Module 01-Lesson 02_Create A Git Repo
Part 14-Module 01-Lesson 03_Review a Repo's History
Part 14-Module 01-Lesson 04_Add Commits To A Repo
Part 14-Module 01-Lesson 05_Tagging, Branching, and Merging
Part 14-Module 01-Lesson 06_Undoing Changes
Part 14-Module 01-Lesson 07_Working With Remotes
Part 14-Module 01-Lesson 08_Working On Another Developer's Repository
Part 14-Module 01-Lesson 09_Staying In Sync With A Remote Repository
Part 14_Prerequisite Git & Github/Module 01_Prerequisite Git & Github
Part 15-Module 01-Lesson 01_Introduction
Part 15-Module 01-Lesson 02_Vectors
Part 15-Module 01-Lesson 03_Linear Combination
Part 15-Module 01-Lesson 04_Linear Transformation and Matrices
Part 15_Prerequisite Linear Algebra/Module 01_Prerequisite Linear Algebra
Part 16-Module 01-Lesson 01_Descriptive Statistics - Part I
Part 16-Module 01-Lesson 02_Descriptive Statistics - Part II
Part 16-Module 01-Lesson 03_Admissions Case Study
Part 16-Module 01-Lesson 04_Probability
Part 16-Module 01-Lesson 05_Binomial Distribution
Part 16-Module 01-Lesson 06_Conditional Probability
Part 16-Module 01-Lesson 07_Bayes Rule
Part 16-Module 01-Lesson 08_Python Probability Practice
Part 16-Module 01-Lesson 09_Normal Distribution Theory
Part 16-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem
Part 16-Module 01-Lesson 11_Confidence Intervals
Part 16-Module 01-Lesson 12_Hypothesis Testing
Part 16-Module 01-Lesson 13_Case Study AB tests
Part 16-Module 01-Lesson 14_Regression
Part 16-Module 01-Lesson 15_Multiple Linear Regression
Part 16-Module 01-Lesson 16_Logistic Regression
Part 16_Prerequisite Practical Statistics
We demand that the pages be removed, and that you take steps to ensure that this content does not reappear.
This letter is official notification under Section 512(c) of the Digital Millennium Copyright Act (”DMCA”), and I seek the removal of the aforementioned infringing material from your servers.
I have taken fair use into consideration. I am providing this notice in good faith and with the reasonable belief that rights my company owns are being infringed. Under penalty of perjury, I certify that the information contained in the notification is both true and accurate, and I have the authority to act on behalf of the owner of the copyrights involved.
Should you wish to discuss this further, please contact me. Thank you.
[private]
Udacity, Inc.
[private]
[private]