Course Modules

Course Home

Course Home Course Home

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Home Home 1

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Start Here

Start Here Start Here

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Start Here Start Here 1

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Course Policies Course Policies 2

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Navigating Canvas Navigating Canvas 3

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Week 1: Introduction to Data Science

Week 1: Introduction to Data Science Week 1: Introduction to Data Science

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Week 1 Week 1 1

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Context Module Sub Header

Module 1: Module 1: Welcome to Python for Data Science 2

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Course Overview Course Overview 3

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Introduction - Gerald Soosai Raj Introduction - Gerald Soosai Raj 4

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Introduction - Ilkay Altintas Introduction - Ilkay Altintas 5

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Introduction - Leo Porter Introduction - Leo Porter 6

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Context Module Sub Header

Module 2: What is Data Science? 7

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Defining Data Science Defining Data Science 8

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Data Science in Everyday Life Data Science in Everyday Life 9

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Why are We Talking About Data Science Now? Why are We Talking About Data Science Now? 10

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Discussion Topic

Discussion | Why Data Science? Discussion | Why Data Science? 11

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Context Module Sub Header

Module 3: Data Science in the Industry 12

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What is a Data Scientist? What is a Data Scientist? 13

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Data Science Roles in the Industry Data Science Roles in the Industry 14

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How Netflix Data Science Team Works How Netflix Data Science Team Works 15

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External Url

Part 1: Beyond Interactive: Notebook Innovation at Netflix Part 1: Beyond Interactive: Notebook Innovation at Netflix 16

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Part 2: Scheduling Notebooks at Netflix Part 2: Scheduling Notebooks at Netflix 17

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Context Module Sub Header

Module 4: Data Science Process 18

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Phases of the Data Science Process - Part 1 Phases of the Data Science Process - Part 1 19

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Phases of the Data Science Process - Part 2 Phases of the Data Science Process - Part 2 20

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Case Study: COVID-19 Spread Analysis Case Study: COVID-19 Spread Analysis 21

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External Url

COVID-19 Notebook COVID-19 Notebook 22

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External Url

A Beginner’s Guide to the Data Science Pipeline A Beginner’s Guide to the Data Science Pipeline 23

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Context Module Sub Header

Module 5: Getting Started With Jupyter Lab 24

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External Url

Preparing your Local Environment Preparing your Local Environment 25

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Introduction to Jupyter Notebooks Introduction to Jupyter Notebooks 26

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Quiz

Week 1 Video Quiz Week 1 Video Quiz 8 27

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Context Module Sub Header

Module 6: Assess Yourself 28

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External Url

DOWNLOAD @ COMPLETE: Hands-on Jupyter Notebook with Exercises DOWNLOAD @ COMPLETE: Hands-on Jupyter Notebook with Exercises 29

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External Url

SOLUTION: Hands-on Jupyter Notebook with Exercises SOLUTION: Hands-on Jupyter Notebook with Exercises 30

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Week 2: NumPy

Week 2: NumPy Week 2: NumPy

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Week 2 Week 2 1

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Context Module Sub Header

Module 1: NumPy Basics 2

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Welcome to Python Libraries Welcome to Python Libraries 3

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Array Basics Array Basics 4

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Getting Started with NumPy Arrays Getting Started with NumPy Arrays 5

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Slicing & Indexing Slicing & Indexing 6

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External Url

Common Misconceptions with NumPy Common Misconceptions with NumPy 7

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External Url

NumPy Quickstart Guide NumPy Quickstart Guide 8

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Context Module Sub Header

Module 2: Learning from Data 9

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Manipulating and Cleaning Data Manipulating and Cleaning Data 10

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Linear Algebra Basics Linear Algebra Basics 11

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Broadcasting Broadcasting 12

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Example Data Analysis with NumPy Example Data Analysis with NumPy 13

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Quiz

Week 2 Video Quiz Week 2 Video Quiz 10 14

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Week 3: Pandas

Week 3: Pandas Week 3: Pandas

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Week 3 Week 3 1

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Context Module Sub Header

Module 1: Pandas 2

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Pandas Overview Pandas Overview 3

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External Url

Python Pandas Data Science Tutorial using pandastutor.com Python Pandas Data Science Tutorial using pandastutor.com 4

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External Url

Common Misconceptions with Pandas Common Misconceptions with Pandas 5

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External Url

Pandas Quickstart Guide Pandas Quickstart Guide 6

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Quiz

Week 3 Video Quiz Week 3 Video Quiz 9 7

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Week 4: Ethics

Week 4: Ethics Week 4: Ethics

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Week 4 Week 4 1

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Context Module Sub Header

Module 1: Data Ethics 2

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Introduction to Ethics in Data Science Introduction to Ethics in Data Science 3

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Data Science Ethics in 6 Minutes Data Science Ethics in 6 Minutes 4

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We're Training Machines to be Racist. The Fight Against Bias is On We're Training Machines to be Racist. The Fight Against Bias is On 5

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Page

Making Ethical Decisions Making Ethical Decisions 6

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Case Study 1: Predicting Student Success Case Study 1: Predicting Student Success 7

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Case Study 2: College Admissions Case Study 2: College Admissions 8

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Case Study 3: Financial Aid and Mental Health Case Study 3: Financial Aid and Mental Health 9

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Discussions About Ethics Discussions About Ethics 10

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Discussion Topic

Week 4 Assignment - Part 1: Ethical Quandary Week 4 Assignment - Part 1: Ethical Quandary 4 11

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Discussion Topic

Week 4 Assignment - Part 2: Case Studies Week 4 Assignment - Part 2: Case Studies 3 12

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Discussion Topic

Week 4 Assignment - Part 3: GPT-3 Week 4 Assignment - Part 3: GPT-3 3 13

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Quiz

Week 4 Video Quiz Week 4 Video Quiz 7 14

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Week 5: Visualization

Week 5: Visualization Week 5: Visualization

Context Module Sub Header

Module 1: Data Visualization 1

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Introduction to Data Visualization Introduction to Data Visualization 2

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Creating Quality Data Visualizations Creating Quality Data Visualizations 3

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Exploring Data with Visualizations - Part 1 Exploring Data with Visualizations - Part 1 4

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Exploring Data with Visualizations - Part 2 Exploring Data with Visualizations - Part 2 5

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Exploring Data with Visualizations - Part 3 Exploring Data with Visualizations - Part 3 6

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Exploring Data with Visualizations - Part 4 Exploring Data with Visualizations - Part 4 7

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Page

Last Thoughts on Visualizations Last Thoughts on Visualizations 8

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Quiz

Week 5 Video Quiz Week 5 Video Quiz 7 9

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Week 6: Mini Project + API

Week 6: Mini Project + API Week 6: Mini Project + API

Page

Week 6 Week 6 1

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API Intro Notebook API Intro Notebook 2

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Assignment

Mini-Project - Grade Placeholder Mini-Project - Grade Placeholder 20 3

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Week 7: Intro to Machine Learning - Part 1: Classification

Week 7: Intro to Machine Learning - Part 1: Classification Week 7: Intro to Machine Learning - Part 1: Classification

Page

Week 7 Week 7 1

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Context Module Sub Header

Module 1: Getting Started with Machine Learning 2

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What is Machine Learning? What is Machine Learning? 3

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Page

Data Terms for Machine Learning Data Terms for Machine Learning 4

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Machine Learning Categories Machine Learning Categories 5

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Context Module Sub Header

Module 2: Classification 6

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Machine Learning in Python: Classification Machine Learning in Python: Classification 7

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Building and Applying a Classification Model Building and Applying a Classification Model 8

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Decision Trees Decision Trees 9

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Random Forest Random Forest 10

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Page

Classification Notebook Overview Classification Notebook Overview 11

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Quiz

Week 7 Video Quiz Week 7 Video Quiz 10 12

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Assignment

Mini-Project - Grade Placeholder Mini-Project - Grade Placeholder 20 13

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Week 8: Intro to Machine Learning - Part 2: Clustering

Week 8: Intro to Machine Learning - Part 2: Clustering Week 8: Intro to Machine Learning - Part 2: Clustering

Page

Week 8 Week 8 1

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Context Module Sub Header

Module 1: Regression Analysis 2

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Machine Learning in Python: Regression Analysis Machine Learning in Python: Regression Analysis 3

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Linear Regression Linear Regression 4

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Regression Notebook Overview Regression Notebook Overview 5

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Context Module Sub Header

Module 2: Clustering 6

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What is Cluster Analysis? What is Cluster Analysis? 7

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K-Means Clustering K-Means Clustering 8

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Clustering Notebook Overview Clustering Notebook Overview 9

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Context Module Sub Header

Module 3: Working with Text and Database 10

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Working with the Relational Data Model Working with the Relational Data Model 11

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Page

Structured Query Language Structured Query Language 12

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Database Notebook Overview Database Notebook Overview 13

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Quiz

Week 8 Video Quiz Week 8 Video Quiz 10 14

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Module 9: Text & Databases

Module 9: Text & Databases Module 9: Text & Databases

Context Module Sub Header

Module 1: Natural Language Processing 1

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Page

Natural Language Processing with NLTK Natural Language Processing with NLTK 2

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Page

Tokenizing Text Tokenizing Text 3

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Building a Bag-of-Words Model Building a Bag-of-Words Model 4

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Sentiment Analysis Sentiment Analysis 5

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NLP Notebook Overview NLP Notebook Overview 6

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Context Module Sub Header

Module 2: Deep Learning 7

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Page

Neural Networks and Deep Learning Neural Networks and Deep Learning 8

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Neural Network Notebook Neural Network Notebook 9

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Quiz

Week 9 Video Quiz Week 9 Video Quiz 10 10

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Module 10

Module 10 Module 10

Page

Week 10 Week 10 1

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Course Modules

Course Home

Start Here

Week 1: Introduction to Data Science

Module 1: Module 1: Welcome to Python for Data Science 2

Module 2: What is Data Science? 7

Module 3: Data Science in the Industry 12

Module 4: Data Science Process 18

Module 5: Getting Started With Jupyter Lab 24

Module 6: Assess Yourself 28

Week 2: NumPy

Module 1: NumPy Basics 2

Module 2: Learning from Data 9

Week 3: Pandas

Module 1: Pandas 2

Week 4: Ethics

Module 1: Data Ethics 2

Week 5: Visualization

Module 1: Data Visualization 1

Week 6: Mini Project + API

Week 7: Intro to Machine Learning - Part 1: Classification

Module 1: Getting Started with Machine Learning 2

Module 2: Classification 6

Week 8: Intro to Machine Learning - Part 2: Clustering

Module 1: Regression Analysis 2

Module 2: Clustering 6

Module 3: Working with Text and Database 10

Module 9: Text & Databases

Module 1: Natural Language Processing 1

Module 2: Deep Learning 7

Module 10