Health Data Analysis Courses

Real Analysis Midterm Review - 18.100B

Master key concepts and problem-solving techniques for MIT's real analysis midterm through comprehensive review of sequences, limits, continuity, and differentiation.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Stochastic Processes I (cont.) - Regression Analysis - Lecture 6

Explore martingales, Markov processes, and regression analysis in mathematical finance, covering random walks, stopping times, credit transitions, and estimation techniques.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Principal Component Analysis in Finance - Lecture 9

Discover how Principal Component Analysis transforms bond market modeling by identifying key yield curve factors for effective portfolio construction and risk management.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Time Series Analysis - Stationarity, Autocorrelation, and ARMA Models - Lecture 12

Explore stationarity, autocorrelation, and ARMA models for analyzing financial time series data with transformations like log returns to achieve stationarity.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Regression Analysis - Ordinary Least Squares Estimation and Statistical Properties - Lecture 8

Dive into advanced linear regression concepts including OLS estimation, Hat matrix projections, statistical inference with t- and F-tests, and model diagnostics for finance applications.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios - Lecture 18

Explore how financial engineering transforms high-risk biomedical and energy projects into viable investments through diversified portfolios and innovative funding models.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Regression Analysis - Theory and Applications in Finance - Lecture 11

Explore advanced regression techniques including ridge, lasso, and principal components methods with applications to ETF analysis and Capital Asset Pricing Model validation.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Transfer Learning - Data - Lecture 19

Explore transfer learning techniques using generative models for data augmentation, domain adaptation, and advanced prompting methods in deep learning applications.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Convolutional Neural Networks - Architectures for Grid Data - Lecture 4

Explore convolutional neural networks and their effectiveness for grid-based data structures in this MIT deep learning lecture.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

Want to be a Big Data Scientist?

973 ratings at Udemy

Should you pursue a career in Data Science? Data Science basics, process, team, roles, skills, transition, opportunities

• Udemy
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Data Warehousing and SQL End to End

973 ratings at Udemy

Become an expert at SQL and learn SQL end to end, clear all your concepts of SQL in depth and become SQL expert

• Udemy
• 1 day 5 hours 48 minutes
• Self-Paced
• Paid Course

Risk Management using Failure Modes Effects Analysis (Ed-2)

971 ratings at Udemy

Conduct Detailed Risk Assessments | Build Failproof Processes using FMEA | Manufacturing | Banking | Info Security

• Udemy
• 2 hours 32 minutes
• Self-Paced
• Paid Course

ChatGPT for Data Science and Data Analysis in Python

964 ratings at Udemy

Learn to Leverage AI to Fast-Track Your Data Science Project Execution, Data Analysis, Data Visualization and Reporting

• Udemy
• 4 hours 2 minutes
• Self-Paced
• Paid Course

Data Lake Fundamentals - A Comprehensive Data Lakes Guide

965 ratings at Udemy

Learn the Data Lake Essentials: Data Architecture, Benefits, Implementation, Tools, Best Practices of a modern Data Lake

• Udemy
• 2 hours 6 minutes
• Self-Paced
• Paid Course

Master Data Engineering using GCP Data Analytics

964 ratings at Udemy

Learn GCS for Data Lake, BigQuery for Data Warehouse, GCP Dataproc and Databricks for Big Data Pipelines

• Udemy
• 19 hours 36 minutes
• Self-Paced
• Paid Course