Post School Learning

Welcome to my personal learning hub! In today's digital age, education extends beyond traditional classrooms. This website is a curated collection of the courses I've taken post-school, with ratings and notes for some of them. Whether you're an avid learner or simply curious, join me on this journey of lifelong learning. Let's unlock the doors to endless possibilities together. Happy exploring!

• Social Science

1. Financial Markets, Certificate ☆ ☆ ☆ ☆ ☆
   "Financial Markets" is an exceptional introductory course that provides a comprehensive understanding of financial markets. The course incorporates real-world examples to make the material engaging and practical. The professor's insights into human psychology's role in the market add depth to the learning experience. Balancing theory and practice, this course is highly recommended for beginners looking to gain a solid foundation in understanding financial markets. .
2. Introduction to Psychology, Certificate, Notes ☆ ☆ ☆ ☆ ☆
3. Questionnaire Design for Social Surveys, Certificate, ☆ ☆ ☆ ☆ ☆

• Data Science

1. Recommendation Systems with TensorFlow on GCP, Certificate ☆ ☆ ☆ ☆ ☆
   The course is super hands-on with repeatable code. It is an applied course and not for learning the mathematical details of the models. It is excellent for people who understand machine learning theories and want to learn how to build a recommendation engine in production. For machine/deep learning theories, I would highly recommend courses from deeplearning.ai .
2. A Crash Course in Causality, Certificate ☆ ☆ ☆ ☆ ☆
3. Creating New BigQuery Datasets and Visualizing Insights, Certificate, ☆ ☆ ☆ ☆ ☆
4. Exploring and Preparing your Data with BigQuery, Certificate, ☆ ☆ ☆ ☆ ☆
5. Social and Economic Networks: Models and Analysis, Certificate, ☆ ☆ ☆ ☆ ☆
6. Deep Learning, Certificate, ☆ ☆ ☆ ☆ ☆
7. SQL for Data Science, Notes, ☆ ☆ ☆ ☆ ☆

• Computer Science

1. Programming Foundations with JavaScript, HTML and CSS, Certificate, ☆ ☆ ☆ ☆ ☆
2. Learn to Program (Python), Certificate, ☆ ☆ ☆ ☆ ☆
3. Programming for Everybody (Python), Certificate, ☆ ☆ ☆ ☆ ☆
4. The Unix Workbench, Notes, ☆ ☆ ☆ ☆ ☆
   There is very limited video content. It is basically all reading. The content is good though.