S : Specializations

• Biostatistics in Public Health
• Excel to MySQL: Analytic Techniques for Business
• Natural Language Processing
• Ethics in the Age of AI
• Advanced Machine Learning
• Machine Learning for Everyone with Eric Siegel

P : Projects

• Emotion AI: Facial Key points Detection
• Transfer Learning for NLP with TensorFlow Hub
• Image Compression with K Means Clustering
• Image Classification with CNNs using Keras
• Optimization of Topic Models using Grid Search Method
• Image Super Resolution Using Autoencoders in Keras
• Unsupervised Machine Learning for Customer Market Segmentation
• Fake News Detection with Machine Learning
• Neural Network from Scratch in TensorFlow
• Image Processing with Python
• Javascript animation for websites, storytelling, data visualization and games
• Create a First Person Camera (VM Compatible!) in Unity
• Deep Learning NLP: Training GPT 2 from scratch
• Siamese Network with Triplet Loss in Keras
• Language Classification with Naive Bayes in Python
• Image Noise Reduction with Auto encoders using TensorFlow
• Avoid Overfitting Using Regularization in TensorFlow
• Developing AI Applications on Azure
• Perform Sentiment Analysis with scikit learn
• Using Google Forms to Analyze User Research Data
• Predict Sales Revenue with scikit learn

C : Courses

• Applied Data Science for Data Analysts
• Introduction to Designing Data Lakes in AWS
• Contact Center AI: Operations and Implementation
• Summary Statistics in Public Health
• Simple Regression Analysis in Public Health
• The Data Scientist’s Toolbox
• Multiple Regression Analysis in Public Health
• Population Health During A Pandemic: Contact Tracing and Beyond
• Hypothesis Testing in Public Health
• Measuring and Maximizing Impact of COVID-19 Contact Tracing
• Data Visualization and Dashboards with Excel and Cognos
• Custom Training Loops, Gradients, and Distributed Training
• Apache Spark (TM) SQL for Data Analysts
• AWS IoT: Developing and Deploying an Internet of Things
• Artificial Intelligence Privacy and Convenience
• Predictive Modeling with Logistic Regression using SAS
• Natural Language Processing with Classification and Vector Spaces
• Natural Language Processing with Attention Models
• Natural Language Processing with Probabilistic Models
• Natural Language Processing with Sequence Models
• Introduction to Deep Learning
• Artificial Intelligence Ethics in Action
• Natural Language Processing
• Custom Models, Layers, and Loss Functions with TensorFlow
• Artificial Intelligence Data Fairness and Bias
• Addressing Large Hadron Collider Challenges by Machine Learning
• Practical Reinforcement Learning
• Increasing Real Estate Management Profits: Harnessing Data Analytics
• Artificial Intelligence Algorithms Models and Limitations
• Unsupervised Learning
• Data Visualization and Communication with Tableau
• Deep Learning in Computer Vision
• Mastering Data Analysis in Excel
• How to Win a Data Science Competition: Learn from Top Kagglers
• Business Metrics for Data-Driven Companies
• Bayesian Methods for Machine Learning
• Big Data Integration and Processing
• Managing Big Data with MySQL
• Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
• The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
• Explainable AI: Scene Classification and GradCam Visualization
• Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
• COVID-19 Contact Tracing
• Building Conversational Experiences with Dialogflow
• Managing Machine Learning Projects with Google Cloud
• AWS Computer Vision: Getting Started with GluonCV