technifyed

Coursera via Coursera

A Second Brain with Obsidian

3.031 ratings at Coursera

Overview

In this hands-on guided project you will learn how to use the knowledge base app Obsidian. With its powerful interface, Obsidian makes it easy for anyone to structure note taking dynamics suitable for a variety of purposes: from personal journaling, to study or work notes. On top of that, one can establish links across notes and quite literally build a digital brain based on all of these connections, powered by Obsidian's Graph View.

Syllabus 1

  1. Project Overview 2 hours

    What if you could turn your thoughts and reading highlights into a digital repository with great search-ability and network based visualizations? That's what Obsidian allows you to do.

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (1 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Danilo Oliveira VazComplexity Researcher and Practitioner

Coursera is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100). Made by the platform, often short guided projects.

Similar courses

Compare these

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Enter your email and the official page opens. Phone is optional.