National Student Data Corps Video Library

Home » National Student Data Corps » National Student Data Corps Video Library

Welcome to the NSDC Video Library where you can watch videos on data science topics based on IBM’s OpenDS4All curriculum, as well as student-created SQL and R educational materials, data science use cases, and more, presented by data enthusiasts from around the world. IBM transferred the management of the OpenDS4All GitHub repository to the NEBDHub in June 2023.

If you’re interested in creating video content leveraging IBM’s OpenDS4All content, please email the NSDC HQ team at nsdc@nebigdatahub.org.

Watch these videos to learn more about the difference between data science, data analytics, and data engineering. Become familiar with topics including data science models, knowledge graphs, and additional data science applications.

Introduction to Data Science

What is Data Science? (Playlist)

Data Fundamentals Flashcards

Learn about key STEM topics, tools, and techniques with short-form video playlists featuring data science students from the National Student Data Corps (NSDC).

Data Science Ethics

Data Pipeline

Data Storytelling

Data Types

Data Visualization

Descriptive Statistics

Geospatial Analysis

Linear Regression

Ontologies

Probability

Time Series Analysis

Data Science Ethics

With Abhishek Sinha, Varalika Mahajan, and Rahulraj Singh

These videos provide a framework for the important topic of ethics in the collection and usage of data. Watch these videos to learn more about privacy, transparency, consent, explainability and fairness in data science, and walk through a use case using the Breast Cancer Wisconsin (Diagnostic) Data Set in Part 1 of the AI Explainability series.

Data Science Ethics with Abhishek Sinha & Varalika Mahajan (Playlist)

AI Explainability with Rahulraj Singh (Playlist)

AI Fairness 360 with Rajulraj Singh (Playlist)

Data Acquisition & Wrangling

With Varalika Mahajan, Renyin Zhang and Sanket Bhandari

Learn more about structured and unstructured data, and practice acquiring, extracting, cleaning, plotting and grouping data from a dataset with real-world examples along the way.

Review of Data Types with Varalika Mahajan

Data Acquisition and Wrangling with Renyin Zhang (Playlist)

Data Wrangling Jupyter Notebook with Sanket Bhandari (Playlist)

Data Integration

With Stephanie Guo, Lylybell Teran, and Varalika Mahajan

Familiarize yourself with the process of data integration, including breakdowns of the most common data quality issues, feature selection approaches, and partitional clustering and hierarchical clustering methods. Learn how to detect inconsistencies, find duplicates, and handle outliers within your dataset.

Intro to Data Cleaning with Stephanie Guo

Feature Selection with Lylybell Teran

Data Clustering with Varalika Mahajan

Data Visualization & Modeling

With Rahulraj Singh and Varalika Mahajan

Review how visual interfaces, knowledge graphs, and entity-relationship modeling can help analyze datasets and illustrate algorithmic performances, and practice your skills with a COVID Case Study.

Information Visualization and Visual Analytics with Rahulraj Singh

Data Exploration and Visualization – A COVID Case Study with Varalika Mahajan

Data Representation and Modeling with Rahulraj Singh

Computer Programming

With Dashansh Prajapati, Hoang Luong and Gabriella Qi

Familiarize yourself with R, a programming language commonly used for statistical analysis. Throughout this video you will learn about RStudio’s Source Pane, Console Pane, Environment/History Pane, and more. Then, discover relational databases and relational database management systems (RDBMS) including MySQL. Learn more about common operators and practice your skills with examples along the way.

An Introduction to R with Dashansh Prajapati

An Introduction to SQL with Jingnan (Gabriella) Qi (Playlist)

Machine Learning
with Lylybell Teran and Tomislav Galjanic

Master the basics of Supervised Machine Learning and Linear Regression with these video tutorials.

Supervised Machine Learning with Tomislav Galjanic (Playlist)

Linear & Logistic Regression with Lylybell Teran

Linear & Logistic Regression Walkthrough with Lylybell Teran

Artificial Intelligence

with Lylybell Teran and Sneha Dahiya

Watch these videos to learn how to solve machine learning and artificial intelligence problems with the use of artificial and convolutional neural networks.

Artificial Neural Networks with Lylybell Teran (Playlist)

Artificial Neural Networks with Sneha Dahiya (Playlist)

Deep Learning

With Sanket Bhandari

Learn more about artificial intelligence through deep learning methods and models.

Transfer Learning with Sanket Bhandari

Data Science Use Cases – from the AI for Social Good Fall 2020 Symposium

In 2020, the Association for the Advancement of Artificial Intelligence’s AI for Social Good Fall Symposium featured student and researcher presentations on the role of AI can play in data science for social good initiatives.

Recent developments in the availability of big data and computational power are continuing to revolutionize several domains opening up new opportunities and challenges. In this symposium, we highlight two specific themes of humanitarian relief and healthcare where AI could be used for social good to achieve the United Nations (UN) sustainable development goals in those areas, which touch every aspect of human, social, and economic development. We expect the symposium to identify the critical needs and pathways for responsible AI solutions for achieving the sustainable goals, which demand holistic thinking on optimizing the trade-off between automation benefits and their potential side-effects.

Health Care Misinformation: An AI Challenge for Low-Resource Languages

Robust Lock-Down Optimization for COVID-19 Policy Guidance

Socioeconomic and Geographic Variations that Impact the Spread of Malaria

Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network

Clean Water: How the AI community can contribute to accessing water sources in developing countries

Measuring and Visualizing Social Distancing Using Deep Learning and 3D Computer Vision

Artificial Intelligence and Resource Allocation in Health Care: The Process-Outcome Divide in Perspectives on Moral Decision-Making

Two-Step Framework for Parkinson’s Disease Classification: Multiple One-Way ANOVA on Speech Features and Decision Trees

NSDC MasterClass Video Series

The NSDC MasterClass Video Series showcases experts who share how data science tools and techniques are being leveraged in various domains. Future episodes may highlight the intersection of data science and healthcare, finance, athletics, entertainment, technology, education, public policy, and more.