How I take notes - Tips for efficient note taking that speeds up learning

Tina Huang · Beginner ·🧠 Large Language Models ·5y ago

Key Takeaways

Tina Huang shares her note-taking process, from preparation to post-notetaking, highlighting tips for efficient note-taking that speeds up learning, including focusing on high-level concepts and own insights.

Full Transcript

uh note-taking there are so many ways of taking notes out there some are so aesthetic and pretty that they pretty much look like art pieces and others are just so brilliantly organized and detailed you can pretty much just publish and resell in my case though what i care about are just two things one is using note taking as a way to speed up my learning process and two is being efficient but still creating a way for future tina to easily re-access the information which is what i call creating a framework of references in this video i'll first talk about the stationary that i use then i'll go through my pre-note-taking techniques that prime the brain and help maximize information retention next i'll go through my simple note-taking system where instead of writing down every single thing i focus only on writing down high-level concepts full examples and making my own insights and connections finally i will explain how i do active recall which is a scientifically backed learning technique that involves retrieving information from your brain because the actual act of retrieving information strengthens the connections in your brain and accelerates your learning process i have to recall something i do before finishing up my note-taking session as you'll see in the video i actually build in several different efficient learning principles within the note-taking process itself to help accelerate my learning while taking notes at the same time two birds with one stone or as i like to say minimize effort and maximize outcome my favorite art that's good stationery what i use is a notebook a pencil and a brightly colored pen i write my notes by hand because it helps me retain the information much better and it's easier to draw diagrams some studies have shown that students who take notes by hand do better on exams and those that type their notes but there are other studies that also report not detecting a difference at all so i'm not going to sit here and proclaim that taking notes by hand is definitely superior but i personally do prefer it on a side note though i have been thinking about getting an ipad for a while since i would like to be able to take handwritten notes without having a bunch of physical notebooks but i haven't been able to justify the price to myself yet so for now we're still sticking with handwritten on paper when it comes to notebooks i'm not particularly picky it just has to be lined or gridded where else i start writing like this i also prefer binded notebooks where else i'll lose all the pages and i just not really organized enough to consistently put the notes in a binder and finally i prefer notebooks with either small spirals or non-spiral because i'm left-handed if you're left-handed you know what i mean by that for writing utensils i prefer writing with pencils so i can easily erase and avoid having to use white out or cross outfits i also use a brightly colored pen for emphasis so that i can easily distinguish sections when i need to reference my notes in the future i'm not too picky about what kind of pencil and pen i use as long as they work well pre-note-taking if i'm not starting a brand new topic i usually start with doing a quick review of my earlier notes to refresh myself on the topic i then do a learning technique called priming priming is a learning technique where you expose yourself to the material that you're going to be covering before actually learning it there's been research that shows that priming yourself helps with better retention of information after you learn it the way i do this is really simple i just quickly skim through the next segment i'll be taking notes on and taking a mental note of the major topics that will be covered note-taking i think it's important to have a consistent system for two reasons the first one is so that future you can easily reference the notes when you need to review your notes the second reason is so that you don't waste a lot of cognitive energy just trying to decide on how to structure your notes every single time i have a very simple system where i write the title and underline with the color pen to make it stand out then for each subtopic i made a dashed line with the colored pen before writing the subtopic i also always leave one side of the notes blank which i use for scratch paper and a place to write down more stuff if i ever want to come back in the future and expand on a topic for the actual note taking itself i don't try to write down every single thing because that would just take way too long and doesn't actually help you retain information well instead i focus on high level concepts making my own insights and connections and using full examples let me explain each in detail focusing on high level concepts i focus on understanding what is being presented and only take notes on the high level concepts of the material instead of writing down every single thing when i think there's a lot of details in a section that might be useful in the future i make references to where the material can be found like the page number of a book or maybe the title and timestamp of a video lecture this is so that in case futuretina wants to come back and revisit the details she'll know where to find it this is what i call a framework of references and it's quite efficient while still allowing myself to easily access additional information if i ever need it let me give you a real example from my notes these are my notes for market structure since i'm learning training right now from rainier too here i have notes about the four different market structures and three different types of trends with just a couple phrases and slash word diagrams for each i also make a note of the video title and timestamp in case i want to come back and reference it later focus on making my own insights and connections i try to write down my own insights and connections while taking notes instead of passively consuming information and just writing down whatever the teacher or textbook says this is a learning technique that's about learning information from different perspectives and making parallels and analogies doing this deepens your understanding of the knowledge and helps with not forgetting since it makes you actively think about the information and incorporate it into your existing repertoire of knowledge which in turn strengthens the neural connections that encodes information in your brain i honestly forgot where i came across this first and i kind of forgot what it's called too but it is a technique that's covered in the course called learning how to learn by barbara oakley if you want to check that out let me show you how i do this in my notes continue on the topic of the four different market structures and three different types of trends although the teacher here didn't explicitly explain this i noticed that the way that the market structures flow into each other usually isn't sudden you can often see that a trending or declining market gradually becomes accumulation and distribution by having each pullback becoming larger and larger so i made a quick note about this i hope that makes sense to you even if you don't know anything about this particular topic or the jargon that i'm using here it's basically just making my own insights and connections from the information that's being presented full examples i like to use full examples when i can because it allows all the pieces of information that's being learned to all kind of come together in a concrete way this is especially great if you're taking notes about something that has a lot of moving parts or involves calculations let me give you a couple examples different from my trading example earlier and since i was a pharmacology major in college let's give an example about drugs drugs generally have pretty complex pathways after entering the body where it often goes through some sort of transformation the drug binds to specific molecules in your body these molecules then go and cause complex downstream effects like for example you have this drug and it binds to protein a for example and that activates protein a and that causes it to produce say like product x and then product x will go and activate protein b and protein c and then protein b will go and bind to protein d and then protein c will bind back to protein a so you see it can get really really complex lots of moving parts having the full example of the drug pathway helps me piece together the information in my brain instead of just trying to memorize what happens to protein a and what that binds to and then going and trying to memorize what happens to protein b and what that binds to having a full example of these interactions helped me a lot in both absorbing the information and understanding the concept as a whole another example is say you're taking notes about physics say like kinematics or something i would take notes of a full example solution of a relatively complex kinematic problem maybe like this one where you have to convert the units and then use a couple different kinematic formulas to solve i'm actually going to go and solve the problem because that's kind of that's not really the point but basically if you do a full example that involves multiple steps it not only helps you understand how the information interacts with each other but also in the future when you need to yourself do the calculations like for an exam or something you would have had practice approaching more complex questions from start to finish not to mention if you ever need to come back and reference your notes in the future having this full example here will help you quickly refresh your memory instead of having to kind of like sit there and try to piece together all the destroyed pieces of information so there you have it when i take notes i focus on high level concepts making my own insights and connections and using full examples by the way if you're the kind of person that tends to feel a lot of fomo and thinks everything is important and try to write everything down here's a tip listen to video lectures at somewhere between 1.5 to 3 times the speed and don't pause too often so you're forced to only write down to important stuff or if you're studying from a text set a time limit for how much time you spend taking notes or a page limit for how much you would write down for each section post note ticket so after i finish a section i leave some room for when i do the learning technique of active recall which is what i do when i'm done taking notes for the day i do active recall by saying everything that i covered in my notes for each section in my own words while trying to not peek in my notes i then jot down a few summary points at the end of each section there are so many studies that show the effectiveness of active recall so i highly encourage you to dig around some more if you're interested in learning more i think it's pretty cool that the active recall session also doubles the recap or summary at the end which is also super helpful for when i'm looking through my notes again i can just look at the summary and see if it's information that i'm interested in pretty quickly without having to read through all the notes in that section two words with one stone again all right that's it for this video i hope you found the video helpful and don't forget to give the video a thumbs up if you did i'll see you guys in the next video where live stream

Original Description

Hi friends! In this video, I share with you guys how I take notes from start to finish. I love things that minimize effort and maximize outcome so my note taking also doubles as a way to speed up the learning process. It's also fast and efficient, but still easy to reference when I want to revisit the notes in the future. I hope you enjoy this video: How I take notes - Tips for efficient note taking that speeds up learning Timestamps 00:00 Intro 01:23 Stationary 02:48 Pre-notetaking 03:17 Notetaking 03:35 Notetaking - system 04:11 Notetaking - focus on high level concepts 05:05 Notetaking - focus on own insights and connections 06:22 Notetaking - full examples 08:45 Notetaking - tip if you have FOMO 09:07 Post-notetaking _____________________________________________________________________ discord: https://discord.gg/5mMAtprshX livestreaming google calendar: https://calendar.google.com/calendar/u/1?cid=cDBtOGgxOG1waW92bTJxYzdpZmkzNmgwODhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ SQL for tech and data science interviews course with 10 mock interviews: https://www.udemy.com/course/sql-for-tech-and-data-science-interviews/?couponCode=DF947818F15A561AE84E ($12.99 promotion until July 18th, 2021!) _____________________________________________________________________ Other videos you might be interested in How I would learn to code (if I could start over): https://youtu.be/MHPGeQD8TvI How to self study technical things: https://www.youtube.com/watch?v=_EzmbCuoFcU ______________________________________________________________________ Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1 ______________________________________________________________________ Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA **Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina __________________________________________________________
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Tina Huang · Tina Huang · 58 of 60

1 How to choose between software engineering and data science | 5 Key Considerations
How to choose between software engineering and data science | 5 Key Considerations
Tina Huang
2 How I got Software Engineering and Data Science Internships | Computer Science Job Search Part 1
How I got Software Engineering and Data Science Internships | Computer Science Job Search Part 1
Tina Huang
3 How I Became a Data Scientist | Computer Science Job Search Part 2
How I Became a Data Scientist | Computer Science Job Search Part 2
Tina Huang
4 3rd Year Statistics,  Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1
3rd Year Statistics, Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1
Tina Huang
5 How to learn SQL for data science interview (the minimize effort maximize outcome way)
How to learn SQL for data science interview (the minimize effort maximize outcome way)
Tina Huang
6 3rd Year CS Resume (and asian drink) Review | Reviewing Your Resumes Ep. 2
3rd Year CS Resume (and asian drink) Review | Reviewing Your Resumes Ep. 2
Tina Huang
7 Are you a student? If yes, this is the best data science project for you!
Are you a student? If yes, this is the best data science project for you!
Tina Huang
8 The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guide
The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guide
Tina Huang
9 Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath
Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath
Tina Huang
10 Real Data Science SQL Interview Questions and Answers # 1 | Data Science Interview Questions
Real Data Science SQL Interview Questions and Answers # 1 | Data Science Interview Questions
Tina Huang
11 3 More Unique and Impactful Projects to get a Data Science Job
3 More Unique and Impactful Projects to get a Data Science Job
Tina Huang
12 Real Data Science SQL Interview Questions and Answers # 2 | Data Science Interview Questions
Real Data Science SQL Interview Questions and Answers # 2 | Data Science Interview Questions
Tina Huang
13 THANK YOU FOR 1000! | Proper intro | Random facts about myself
THANK YOU FOR 1000! | Proper intro | Random facts about myself
Tina Huang
14 A day in the life of a data scientist (FAANG data scientist remote)
A day in the life of a data scientist (FAANG data scientist remote)
Tina Huang
15 SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3
SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3
Tina Huang
16 Biology to Data Science (data professor's tips on how to get a data science research position)
Biology to Data Science (data professor's tips on how to get a data science research position)
Tina Huang
17 SQL Data Science Interview Questions and Answers (interview style walk-through) | SQL Sundays #4
SQL Data Science Interview Questions and Answers (interview style walk-through) | SQL Sundays #4
Tina Huang
18 Data Science SQL Interview Question Walkthrough | SQL Sundays #5
Data Science SQL Interview Question Walkthrough | SQL Sundays #5
Tina Huang
19 Data Science Resume Round-Up With @KenJee_ds  - Episode 2
Data Science Resume Round-Up With @KenJee_ds - Episode 2
Tina Huang
20 SQL Data Science Interview Question Walkthrough | SQL Sundays #6
SQL Data Science Interview Question Walkthrough | SQL Sundays #6
Tina Huang
21 Data Science vs Software Engineering Interview | 3 Key Differences
Data Science vs Software Engineering Interview | 3 Key Differences
Tina Huang
22 Data Science SQL Interview Question Walkthrough (real interview style) | SQL Sundays #7
Data Science SQL Interview Question Walkthrough (real interview style) | SQL Sundays #7
Tina Huang
23 The data science resume that got me my FAANG (MANGA?) job (entry level data scientist)
The data science resume that got me my FAANG (MANGA?) job (entry level data scientist)
Tina Huang
24 Data Science SQL Interview Question Walkthrough (real interview style) | SQL Sundays #8
Data Science SQL Interview Question Walkthrough (real interview style) | SQL Sundays #8
Tina Huang
25 Interview with a quant trader
Interview with a quant trader
Tina Huang
26 How I chose my masters degree (as an international student)
How I chose my masters degree (as an international student)
Tina Huang
27 The software engineering resume that got me into FAANG and Goldman Sachs (internship)
The software engineering resume that got me into FAANG and Goldman Sachs (internship)
Tina Huang
28 3 tips to avoid debt for a masters #SHORTS
3 tips to avoid debt for a masters #SHORTS
Tina Huang
29 A hard work day (ft. new NLP project) | FAANG data science isn't chill | vlog 1
A hard work day (ft. new NLP project) | FAANG data science isn't chill | vlog 1
Tina Huang
30 The comments sections are WILD | YouTube sentiment analysis - Data science project for beginners
The comments sections are WILD | YouTube sentiment analysis - Data science project for beginners
Tina Huang
31 Do you have what it takes to be a great data scientist?
Do you have what it takes to be a great data scientist?
Tina Huang
32 How to learn data science in 2022 (the minimize effort maximize outcome way)
How to learn data science in 2022 (the minimize effort maximize outcome way)
Tina Huang
33 A productive day as a data scientist | day in the life of a data scientist vlog #2
A productive day as a data scientist | day in the life of a data scientist vlog #2
Tina Huang
34 How to learn math for data science (the minimize effort maximize outcome way)
How to learn math for data science (the minimize effort maximize outcome way)
Tina Huang
35 Internship that made me rethink my career...(technology summer analyst at Goldman Sachs)
Internship that made me rethink my career...(technology summer analyst at Goldman Sachs)
Tina Huang
36 How to get a data science job
How to get a data science job
Tina Huang
37 cake and big sister advice 🖤
cake and big sister advice 🖤
Tina Huang
38 the most underrated data job in 2021
the most underrated data job in 2021
Tina Huang
39 My career changing computer science masters degree in 15 minutes (Upenn MCIT)
My career changing computer science masters degree in 15 minutes (Upenn MCIT)
Tina Huang
40 Data science interview tips (product and technical interviews)
Data science interview tips (product and technical interviews)
Tina Huang
41 Needed to learn javascript in 3 hours - would not recommend
Needed to learn javascript in 3 hours - would not recommend
Tina Huang
42 from management consultant to software engineer | Humans of MCIT
from management consultant to software engineer | Humans of MCIT
Tina Huang
43 Overview, Review and Study Tips - Google Data Analytics Professional Certificate
Overview, Review and Study Tips - Google Data Analytics Professional Certificate
Tina Huang
44 Overview, Review and Study Tips - Google Data Analytics Professional Certificate (condensed version)
Overview, Review and Study Tips - Google Data Analytics Professional Certificate (condensed version)
Tina Huang
45 Watch this video before applying to Georgia Tech OMSCS
Watch this video before applying to Georgia Tech OMSCS
Tina Huang
46 How to self study technical things
How to self study technical things
Tina Huang
47 What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate
What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate
Tina Huang
48 FAANG Data scientist reviews: Datacamp, Dataquest, 365 Data Science
FAANG Data scientist reviews: Datacamp, Dataquest, 365 Data Science
Tina Huang
49 How I would learn to code (if I could start over)
How I would learn to code (if I could start over)
Tina Huang
50 The quant trader interview guide
The quant trader interview guide
Tina Huang
51 We code a trading bot live! @jacobamaral
We code a trading bot live! @jacobamaral
Tina Huang
52 Why you should have a portfolio website
Why you should have a portfolio website
Tina Huang
53 60k cooking and Q&A (ft. Uncle Roger fried rice)
60k cooking and Q&A (ft. Uncle Roger fried rice)
Tina Huang
54 How to self study using MOOCS (Udemy, Coursera, and other online courses) | self study online
How to self study using MOOCS (Udemy, Coursera, and other online courses) | self study online
Tina Huang
55 Data Science SQL Interview Question Walkthrough | SQL Sundays #9
Data Science SQL Interview Question Walkthrough | SQL Sundays #9
Tina Huang
56 Watch me build my portfolio! | How to create a portfolio website
Watch me build my portfolio! | How to create a portfolio website
Tina Huang
57 How I stop myself from burning out
How I stop myself from burning out
Tina Huang
How I take notes - Tips for efficient note taking that speeds up learning
How I take notes - Tips for efficient note taking that speeds up learning
Tina Huang
59 How I design effective study plans for ANY SUBJECT (and stick with them) | trading, coding etc.
How I design effective study plans for ANY SUBJECT (and stick with them) | trading, coding etc.
Tina Huang
60 How I'm learning to trade (forex swing trading)
How I'm learning to trade (forex swing trading)
Tina Huang

This video teaches viewers how to take notes efficiently, focusing on key concepts and insights, and provides tips for overcoming FOMO and revisiting notes effectively. By following Tina's note-taking process, viewers can improve their learning outcomes and develop productive habits.

Key Takeaways
  1. Prepare necessary materials
  2. Focus on high-level concepts
  3. Take notes on own insights and connections
  4. Use full examples to illustrate key points
  5. Overcome FOMO by prioritizing key information
  6. Review and revisit notes regularly
💡 Focusing on high-level concepts and own insights is crucial for efficient note-taking and effective learning.

Related Reads

📰
How I Stopped Fighting Hallucinations in LLM Data Extraction
Learn to stop fighting hallucinations in LLM data extraction and improve your data quality
Dev.to · zhongqiyue
📰
Anthropic’s Claude Sonnet 5 Is “Near-Opus Intelligence” For All Plans via @sejournal, @martinibuster
Anthropic's Claude Sonnet 5 model offers near-opus intelligence for all plans, including the free tier, with introductory pricing on tokens
Search Engine Journal
📰
Understanding How LLMs Work: From Text to Tokens, Embeddings, Transformers, and Predictions
Learn how Large Language Models (LLMs) process text into tokens, embeddings, and predictions, and why understanding their inner workings matters for AI applications
Dev.to · Klinsmann R
📰
How ChatGPT Understands Your Questions: A Beginner-Friendly Guide
Learn how ChatGPT understands your questions and improves its responses with fine-tuning and context understanding
Dev.to · Shreyas Rasaikar

Chapters (10)

Intro
1:23 Stationary
2:48 Pre-notetaking
3:17 Notetaking
3:35 Notetaking - system
4:11 Notetaking - focus on high level concepts
5:05 Notetaking - focus on own insights and connections
6:22 Notetaking - full examples
8:45 Notetaking - tip if you have FOMO
9:07 Post-notetaking
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →