Tips for studying at home during social distancing

10 tips to help you stay focused and productive while working at home.
Rating: 4.5 out of 5 (277 ratings)
5,448 students
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Tips for staying motivated to study at home

Requirements

  • None!

Description

Since early 2020, many governments, companies, and organizations around the world have encouraged or enforced "social distancing," working from home, and remote education. This continues to present unique and potentially difficult challenges for people who are used to studying and working in classrooms, libraries, and cafes, and who are now studying at home, possibly by themselves.

On the other hand, working from home also provides new opportunities to explore different ways of learning, finding a work/life balance, and having a healthier lifestyle.

The purpose of this course is to teach you ten tips that will help you maintain your concentration and productivity while studying and working from home. There are no magic one size fits all solutions, and even strategies that work for you may be less effective over time. I hope some of these tips are useful for you, or at least can inspire you to think about other strategies that might work for you.

I’ve been working, teaching, and mentoring from home for almost two years. I’ve had many discussions about work from home issues and thought a lot about the topic. I decided to make this course in hopes that it helps some of you optimize your time.

Who this course is for:

  • Self-studyers
  • Students
  • Professionals
  • Anyone working or studying from home

Instructor

Neuroscientist, writer, professor
Mike X Cohen
  • 4.6 Instructor Rating
  • 29,468 Reviews
  • 147,563 Students
  • 21 Courses

I am a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands. I have an active research lab that has been funded by the US, German, and Dutch governments, European Union, hospitals, and private organizations.

But you're here because of my teaching, so let me tell you about that: 

I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I teach in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >80 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.

I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.

Over 120,000 students have watched over 7,500,000 minutes of my courses. Come find out why!

I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)

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By popular request, here are suggested course progressions for various educational goals:

MATLAB programming: MATLAB onramp; Master MATLAB; Image Processing

Python programming: Master Python programming by solving scientific projects; Master Math by Coding in Python

Applied linear algebra: Complete Linear Algebra; Dimension Reduction

Signal processing: Understand the Fourier Transform; Generate and visualize data; Signal Processing; Neural signal processing