I’ve been thinking about Data Science lately, and I recently watched a YouTube video describing how to get started learning prerequisite knowledge for this field. While I am skeptical of the use of buzzwords, I think data science does reflect a loose collection of ideas and tools that are interesting and useful. Some of these subtopics include statistics, algorithms, databases, machine learning, and other miscellaneous topics within computer science and mathematics. I’m not partial to the term, but I am to the associated skillset.
In the interest of learning this subject in a structured way, I am going to go through the curricula suggested by Giles McMullen-Klein. I’ll modify it as it suites my needs or interests, but it serves as a simple template to get started with.