On this page, you will find links to external resources that may only be tangentially related to the topics discussed. However, I am confident that these resources hold an incredible amount of value.

Data Embassy and Liza Bolton

Data Embassy was one of the first pages that described my interest and passion for data and statistics. Dr. Liza Bolton is one of the people I most look up to in the field, simply because of her approach best summarized on Data Embassy: “I love to work with people who don’t have a background in statistics or analytics so they too can make evidence driven decisions. If you aren’t confident in your ability to analyze your data, you need a go between, you need someone who can be an ambassador for your data.”

I personally recommend the section on the “Liza Bolton” page, “General Advice” for students and any professional working in teams.

Tags: #DataScience, #Statistics

Learning How to Learn on Coursera

Improve your learning skills and understanding of the learning process with the "Learning How to Learn" course on Coursera. It covers memory techniques, studying strategies, and overcoming procrastination, making it a valuable resource for students, professionals, and lifelong learners.

Tags: #LearningHowToLearn #Coursera #SelfImprovement

CS50

The famous Harvard course is a great starting point for anyone interested in computer science, regardless of their background. It provides an understanding of programming and challenges individuals to improve their skills.

Tags: #CS50 #Edx #Harvard #Programming

OSSU: Open Source Society University

This open-source project takes inspiration from the curricula of established universities. It provides a comprehensive list of topics and links to resources equivalent to those found in various degrees, including computer science, data science, and mathematics. It is a great reference point if you ever need to improve your understanding of these topics.

Tags: #OSSU #OpenSourceProject, #ComputerScience, #DataScience

The Forage

This site offers free virtual internships for anyone. It allows you to showcase elaborate projects from real companies! I have linked it to the data section of projects, but they offer a variety of topics that you are free to explore.

Tags: #Projects #Portfolio

LMU Masters Interview Reference

Ludwig-Maximilians-University (LMU) Munich is one of the most prestigious universities in Europe. When looking for inspiration for topics to study in my data analytics journey, I stumbled across their interview questions for their master's programs in Data Science and Statistics. This is a great reference for what topics you should be familiar with on a theoretical level.