dmca/2023/02/2023-02-03-udacity.md

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

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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

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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.

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Udacity, Inc.

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