learning

A running log of things I'm learning to build strong core software engineering skills while also expanding breadth of knowledge on adjacent technologies a little bit everyday.

Core Skills

Python Programming

Resource	Progress
Datacamp: Writing Efficient Python Code	✓
Datacamp: Writing Functions in Python	✓
Datacamp: Object-Oriented Programming in Python	✓
Datacamp: Importing Data in Python (Part 1)	✓
Datacamp: Importing Data in Python (Part 2)	✓
Datacamp: Intermediate Python for Data Science	✓
Datacamp: Python Data Science Toolbox (Part 1)	✓
Datacamp: Python Data Science Toolbox (Part 2)	✓
Datacamp: Developing Python Packages	✓
Datacamp: Conda Essentials	✓
Youtube: Tutorial: Sebastian Witowski - Modern Python Developer's Toolkit	✓
Datacamp: Unit Testing for Data Science in Python	✓
Datacamp: Working with Dates and Times in Python	✓
Datacamp: Command Line Automation in Python
Book: Python 201
Book: Writing Idiomatic Python 3
Book: Test Driven Development with Python

Data Structures and Algorithms

Resource	Progress
Book: Grokking Algorithms	✓
Book: The Tech Resume Inside Out	✓
Neetcode: Algorithms and Data Structures for Beginners	✓
Udacity: Intro to Data Structures and Algorithms	✓

Linux & Command Line

Resource	Progress
Datacamp: Introduction to Shell for Data Science	✓
Datacamp: Introduction to Bash Scripting	✓
Datacamp: Data Processing in Shell	✓
MIT: The Missing Semester	✓
Udacity: Linux Command Line Basics	✓
Udacity: Shell Workshop	✓
Udacity: Configuring Linux Web Servers	✓

Version Control

Resource	Progress
Udacity: Version Control with Git	✓
Datacamp: Introduction to Git for Data Science	✓
Udacity: GitHub & Collaboration	✓
Udacity: How to Use Git and GitHub	✓

Databases

Resource	Progress
Udacity: Intro to relational database	✓
Udacity: Database Systems Concepts & Design
Datacamp: Database Design
Datacamp: Introduction to Databases in Python
Datacamp: Intro to SQL for Data Science	✓
Datacamp: Intermediate SQL
Datacamp: Joining Data in PostgreSQL
Udacity: SQL for Data Analysis
Datacamp: Exploratory Data Analysis in SQL
Datacamp: Applying SQL to Real-World Problems
Datacamp: Analyzing Business Data in SQL
Datacamp: Reporting in SQL
Datacamp: Data-Driven Decision Making in SQL

Backend and System Design

Resource	Progress
Book: Machine Learning Systems Design
Udacity: Authentication & Authorization: OAuth
Udacity: HTTP & Web Servers
Udacity: Client-Server Communication
Udacity: Designing RESTful APIs
Udacity: Networking for Web Developers
Datacamp: Customer Analytics & A/B Testing in Python
Udacity: A/B Testing

Maths

Resource	Progress
Datacamp: Foundations of Probability in Python	✓
Datacamp: Introduction to Statistics	✓
Datacamp: Introduction to Statistics in Python	✓
Datacamp: Hypothesis Testing in Python	✓
Datacamp: Statistical Thinking in Python (Part 1)	✓
Datacamp: Statistical Thinking in Python (Part 2)	✓
Datacamp: Experimental Design in Python	✓
edX: Essential Statistics for Data Analysis using Excel	✓
Udacity: Intro to Inferential Statistics	✓
MIT 18.06 Linear Algebra, Spring 2005	✓
Udacity: Eigenvectors and Eigenvalues	✓
Udacity: Linear Algebra Refresher
Youtube: Essence of linear algebra

Domains

Machine Learning

Resource	Progress
Article: An overview of gradient descent optimization algorithms	✓
Book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Book: A Machine Learning Primer	✓
Book: Make Your Own Neural Network	✓
Book: Grokking Machine Learning	✓
Book: The StatQuest Illustrated Guide To Machine Learning	✓
Fast.ai: Practical Deep Learning for Coder (Part 1)	✓
Fast.ai: Practical Deep Learning for Coder (Part 2)
Datacamp: Ensemble Methods in Python	✓
Datacamp: Extreme Gradient Boosting with XGBoost
Datacamp: Clustering Methods with SciPy	✓
Datacamp: Unsupervised Learning in Python	✓
Udacity: Segmentation and Clustering	✓
Datacamp: Intro to Python for Data Science	✓
edX: Implementing Predictive Analytics with Spark in Azure HDInsight	✓
Datacamp: Supervised Learning with scikit-learn	✓
Datacamp: Machine Learning with Tree-Based Models in Python	✓
Datacamp: Linear Classifiers in Python	✓
Datacamp: Convolutional Neural Networks for Image Processing	✓
Datacamp: MLOps Concepts	✓
Datacamp: Machine Learning Monitoring Concepts	✓
Datacamp: Model Validation in Python	✓
Datacamp: Hyperparameter Tuning in Python	✓
Datacamp: HR Analytics in Python: Predicting Employee Churn	✓
Datacamp: Predicting Customer Churn in Python	✓
Datacamp: Dimensionality Reduction in Python	✓
Datacamp: Preprocessing for Machine Learning in Python	✓
Datacamp: Data Types for Data Science	✓
Datacamp: Cleaning Data in Python	✓
Datacamp: Feature Engineering for Machine Learning in Python	✓
Datacamp: Predicting CTR with Machine Learning in Python	✓
Datacamp: Intro to Financial Concepts using Python	✓
Datacamp: Fraud Detection in Python	✓
Karpathy: Neural Networks: Zero to Hero	4/7
Stanford: CS231N Winter 2016	1,2,15

Natural Language Processing

Resource	Progress
Book: Natural Language Processing with Transformer
Stanford CS224U: Natural Language Understanding | Spring 2019	✓
Stanford CS224N: Stanford CS224N: NLP with Deep Learning | Winter 2019	✓
CMU: Low-resource NLP Bootcamp 2020	✓
CMU Multilingual NLP 2020	✓
Datacamp: Feature Engineering for NLP in Python	✓
Datacamp: Natural Language Processing Fundamentals in Python	✓
Datacamp: Regular Expressions in Python	✓
Datacamp: RNN for Language Modeling	✓
Datacamp: Natural Language Generation in Python	✓
Datacamp: Building Chatbots in Python	✓
Datacamp: Sentiment Analysis in Python	✓
Datacamp: Machine Translation in Python	✓

Generative AI

Resource	Progress
Article: OpenAI Prompt Engineering
DeepLearning.AI: Building and Evaluating Advanced RAG Applications	✓
DeepLearning.AI: Finetuning Large Language Models	✓
DeepLearning.AI: Vector Databases: from Embeddings to Applications	✓
DeepLearning.AI: Reinforcement Learning from Human Feedback	✓
LLMOps: Building with LLMs
LLM Bootcamp - Spring 2023	✓
Large Language Models with Semantic Search [1hr]	✓
Karpathy: Intro to Large Language Models [1hr]	✓
Youtube: A Hackers' Guide to Language Models [1hr30m]	✓

Technical Skills (Libraries/Frameworks/Tools)

AWS

Resource	Progress
Udemy: AWS Certified Developer - Associate 2018	✓

CSS

Resource	Progress
Pluralsight: CSS Positioning	✓
Pluralsight: Introduction to CSS	✓
Pluralsight: CSS: Specificity, the Box Model, and Best Practices	✓
Pluralsight: CSS: Using Flexbox for Layout	✓
Code School: Blasting Off with Bootstrap	✓
Pluralsight: UX Fundamentals	✓
Codecademy: Learn SASS	✓
Book: Refactoring UI

HTML

Resource	Progress
Codecademy: Learn HTML	✓
Codecademy: Make a website	✓

JavaScript

Resource	Progress
Udacity: ES6 - JavaScript Improved	✓
Udacity: Intro to Javascript	✓
Udacity: Object Oriented JS 1	✓
Udacity: Object Oriented JS 2	✓
Udemy: Understanding Typescript	✓
Codecademy: Learn JavaScript	✓
Codecademy: Jquery Track	✓
Pluralsight: Using The Chrome Developer Tools	✓

Matplotlib

Resource	Progress
Datacamp: Introduction to Seaborn	✓
Datacamp: Introduction to Matplotlib	✓

Pandas

Resource	Progress
Datacamp: Pandas Foundations	✓
Datacamp: Pandas Joins for Spreadsheet Users	✓
Datacamp: Manipulating DataFrames with pandas	✓
Datacamp: Merging DataFrames with pandas	✓
Datacamp: Data Manipulation with pandas	✓
Datacamp: Optimizing Python Code with pandas	✓
Datacamp: Streamlined Data Ingestion with pandas	✓
Datacamp: Analyzing Marketing Campaigns with pandas	✓
Datacamp: Analyzing Police Activity with pandas	✓

PyTorch

Resource	Progress
Article: PyTorch internals
Datacamp: Introduction to Deep Learning with PyTorch	✓
Deeplizard: Neural Network Programming - Deep Learning with PyTorch	✓

ReactJS

Resource	Progress
Codecademy: Learn ReactJS: Part I	✓
Codecademy: Learn ReactJS: Part II	✓

Spacy

Resource	Progress
Datacamp: Advanced NLP with spaCy	✓

Tensorflow & Keras

Resource	Progress
Datacamp: Introduction to TensorFlow in Python	✓
Datacamp: Deep Learning in Python	✓
Datacamp: Introduction to Deep Learning with Keras	✓
Datacamp: Advanced Deep Learning with Keras	✓
Deeplizard: Keras - Python Deep Learning Neural Network API	✓
Udacity: Intro to TensorFlow for Deep Learning	✓