This markdown is a online learning record for myself and part of study notes for the following topics. I will continue updating the record from time to time.
My Background: M.S. Financial Mathematics, B.S. Statistics, M.Eng. Computer Science (ongoing, part time)
Resources: Coursera
Udemy
Udacity
Medium
Blooberg Terminal
CFA
FRM
Stanford Online
MIT Open Courseware
Statistical Learning
Machine Learning Foundation - Math Foundation [Note]
Time Series Analysis [Note]
Managing Big Data with MySQL
Create a Python Application using MySQL
MongoDB and Python - Quick Start
Create a Python Application using PyMongo and MongoDB Database
Tableau: Certified Associate Certification
Toys:
Visualizing Citibike Trips with Tableau
Building Candlestick Charts with Tableau
Unlock Excel VBA and Excel Macros
Introduction to Data Science in Python
Python for Everybody Specialization
- Getting Started with Python
- Python Data Structures
- Using Python to Access Web Data
- Using Database with Python
- Capstone: Retrieving, Processing, and Visualizing Data with Python
Python for Time Series Data Analysis
Toys:
COVID19 Data Analysis using Python
Processing Data with Python
Mining Data to Extract and Visualize Insights in Python
Machine Learning (Stanford Unv.)
Machine Learning Specialization (Unv. Washington)
- Machine Learning Foundations: A Case Study Approach
- Machine Learning: Regression
- Machine Learning: Classification
- Machine Learning: Clustering & Retrieval
Applied Machine Learning in Python
Python for Data Science and Machine Learning Bootcamp [Note]
Feature Engineering for Machine Learning
Feature Selection for Machine Learning
Deployment of Machine Learning Models
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Covolutional Neural Networks
- Sequence Models
AI Tensorflow Developer Professional Certificate
- Introduction to TensorFlow for Artifical Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow
- Natural Language Processing in TensowFlow
- Sequences, Time Series and Prediction
NLP - Natural Language Processing
The Data Scientist's Toolbox
Version Control Using Git
AWS Fundamentals Specialization
- AWS Fundamentals: Going Cloud-Native
- AWS Fundamentals: Addressing Security Risk
- AWS Fundamentals: Migrating to the Cloud
- AWS Fundamentals: Building Serverless Applications
Getting Started with AWS Machine Learning
Spark and Python for Big Data with Pyspark
The Product Life Cycle: A guide from start to finish with google sheet
SWOT Analysis [Note]
A/B Testing
A/B Testing for Business Analysts
Computational Thinking for Problem Solving [Note]
Algorithmic Toolbox
Algorithms and Data Structrues in Python
Python and Flask Bootcamp: Create Websites using Flask
Build a Machine Learning Web App with Streamlit and Python
Chartered Financial Analyst
CFA Level1 CFA level2 CFA level3
Financial Risk Manager
FRM level1 FRM level2
Algorithms Trading: Backtest, Optimize & Automate in Python
Python and Statistics for Financial Analysis
Investment Management with Python and Machine Learning Specialization
- Introduction to Portfolio Construction and Analysis with Python
- Advanced Portfolio Construction and Analysis with Python
- Python and Machine Learning for Asset Management
- Python and Machine Learning for Asset Management with Alternative Data Sets
Credit Risk Modeling in Python
Logistic Regression using SAS - Indepth Predictive Modeling
C++ Programming for Financial Engineering (distinction)
Bloomberg Market Concepts (Economic Indicators, Currencies, Fixed Income and Equities)