#algebra for beginners

[hopefulpuppywinner]

Algebraic Factorisation

Join our Algebraic Factorisation course and simplify the world of algebra step by step. Learn essential techniques like common factoring, regrouping, and special identities. Perfect for students in middle and high school across all major boards. Concepts are explained through engaging video lessons and real-life examples. Practice with interactive quizzes, worksheets, and detailed solutions. Track your progress with self-assessment tools and instant feedback. Flexible learning schedule to study at your own pace, anytime, anywhere. Get expert support through live sessions and doubt-clearing forums. Boost your confidence and improve performance in school exams. Start your learning journey today with www.mwcedu.com!

[ibrahimacademia]

Algebra 1

Definición de algebra, coeficientes, signos algebraicos, cantidades negativas y positivas

[wronghands1]

[jet-the-eevee]

Happy Glaceon day yall! I rushed this so it's quite messy.

First time drawing glaceon!

[katzensilber]

26 April 2025

WOW I have not studyblr'd in a long time! But I've recently had a small study Renaissance, so I might as well blog about it.

While continuing my programming and compsci studies, I've realized that I should probably brush up on some basic math too, because that's an important foundational skill. So I've started doing some daily math studies on Khan Academy, which is helpful. It's humbling, because despite having reached uni-level math in the past (years ago, back when I was actually in uni), I've forgotten all of it in the interim so now I'm back down to the algebra level 😅 But it's good to stay humble when learning.

I also felt the urge to return to my active language studies, so I'm working through the Assimil courses for Mandarin Chinese and Croatian. The Mandarin course is in French ("Le chinois sans peine") and the Croatian course is in German ("Kroatisch ohne Mühe") so it means I get to practice both those languages too, which is a nice benefit.

After a few days of doing math and language study, my brain felt like a parched flower blossoming after someone had finally watered it, so I decided I wanted to expand my learning even further! I always read a lot, but I tend to gravitate towards fiction and I keep meaning to read more nonfiction, so yesterday I picked up the Routledge Companion to Feminism and Post-Feminism, to brush up on my feminist history.

Today I got even more hyped about learning: I read a few pages of a book in French about African revolutionaries, practiced reading basic Chinese on LanguageCrush (love that site!), dabbled in the history of philosophy on AFAIK.io (do not love that site! so I'm not linking it! further info below), watched a documentary in German about microbes, and did the first unit of a college-level music theory course.

I LOVE LEARNING SO MUCH AHHHHH 🥰

Here's my actual learning log for the past few days:

Apr. 21 - Assimil “Kroatisch ohne Mühe” lessons 1 and 2 (passive wave).

Apr. 22 - Assimil “Kroatisch ohne Mühe” lesson 3 (passive wave). - Assimil “Le Chinois sans peine” lesson 1 (passive wave).

Apr. 23 - Khan Academy: Algebra I (unit 2) - watched some videos in Croatian - Lazy Chinese: one video - Assimil “Kroatisch ohne Mühe” lesson 4 (passive wave). - Assimil “Le Chinois sans peine” lesson 2 (passive wave).

Apr. 24 - nothing (sick)

Apr. 25 - reading: Routledge Companion to Feminism and Post-Feminism (2%) - Khan Academy: Algebra I (unit 2) - Assimil “Kroatisch ohne Mühe” lesson 5 (passive wave). - Assimil “Le Chinois sans peine” lesson 3 (passive wave).

Apr. 26 - German: watched ARTE documentary on microbes (1.5 hours) - French: read a few pages of the book Figures de la révolution africaine: de Kenyatta à Sankara by Saïd Bouamama. - Khan Academy: Algebra I (unit 2) - Assimil “Kroatisch ohne Mühe” lesson 6 (passive wave). - Assimil “Le Chinois sans peine” lesson 4 (passive wave). - Chinese: read a short beginner’s passage on LanguageCrush. - studied some history of philosophy (from the site afaik.io, which I do NOT recommend – the content appears to be entirely AI-generated and some of it contains amusing but concerning mistakes; I am definitely not going to use that site anymore) - music theory: completed Unit 1 (Basic Concepts) of the course “Music Theory for the 21st-Century Classroom” (which I do recommend; it looks incredible!)

[megbritt]

Ok last job journal/productivity/studyblr-esque type post I promise ! Then I will return to my whimsy and return to the usual broadcast. Moving forward, posts like this will end up being on their respective blogs, but I digress. But for now, please bear with me.

I GET ASKED LIKE THE SAME THREE QUESTIONS ALL THE DAMN TIME (instagram dms, tumblr asks, even irl at every tech meetup imaginable what have you; im just directing you all here to this post from now on LOL)

questions like "how did you get into software engineering professionally"

"what is your technical background"

and arguably, more importantly "did you go back to grad school"

in this essay, i will sksksk

-

how did i get into swe

i have a bachelors degree in comp math, also known as applied mathematics - computer science emphasis. despite the name, i didnt really feel like i was a cs major regardless since most of my electives i chose as an undergrad were mainly theory.. I didn't take a lot of swe-centered courses. My courses in undergrad primarily focused on topics such as combinatorics in latex, n-color cyclic compositions, and linear algebra in r.

after my bachelors degree i ended up going to grad school to obtain a masters degree in theorical physics since i fell so daymn hard in love for physics as an undergrad- oof im !

missed coding for a few years.. ended up going to coding boot camp to sharpen my skills here we are <33

-

what is my technical background

basically answered above !

-

did i go back to grad school

no.

I currently am enrolled in a grad school level computer science course at the moment. But I'm enrolled as a "non-seeking degree grad student", or at least that's what it says on my transcripts. Currently, I'm still trying to figure out if I'm ready to commit to a second round of grad school for a second masters or phd.

May or may not take a few more grad level cs courses in the fall & spring; we'll see!

I am enrolled for the fall to take a bunch of random community college courses, one of which is cs, the others of which are like art lol.

The programming language class will be quite nostalgic, cause it's the same programming language i learned as an undergrad.. aww 🫶 It's quite unfortunate I don't really use that language at any of my jobs though.. One of my jobs primary focuses on C# backend so yeah c:

-

how am i going to focus on all this whilst working multiple jobs

¯\_(ツ)_/¯

WE'LL SEE LOL

Quite frankly, I'm barely holding on as it is. Have already contemplated either deferring to the next cohort or dropping the class entirely and waiting until next year but LOL

Somehow it's working out rn !

I kind of blame this on the fact that no one told me classes started two weeks ago??? I basically registed for this class thinking it would start in about two weeks or something NOT THE VERY NEXT DAY I MEAN LOLOL we're like three weeks into the course already as I'm writing this

I kinda do feel like I was just thrown into the fire with this one. It didn't help that I answered a skills survey maybe a bit too accurately i mean x3 kind of regretting answering it TOO honestly.. I should've put I was a beginner at everything cause level 1's group project is to get a front-end only project up and running. easy peasy why cant i do that. BUT IM IN THE HIGHEST LEVEL at level 3 we're all professional devs and we have to turn in a fullstack app with aws lambda and the works.. a working database and everything WHYY?!? LOL

It's nice though that we all have similar schedules though cause we're all working devs in the team but

-

The transition from not going to school for a few years bc of work to full blown working full-time with multiple jobs on the side AND going to grad school again but this time its part-time

HAS BEEN ROUGH LOL no denying

But I will admit I'm having a lot of fun.

I'm glad that before this I was, ya know, going to disneyland on the reg, and/or raving, going to as many raves as I can. Attending concerts like the concert junkie I am lol

I still plan to do these things of course, but I think it'll be a significantly less amount than before.

-

tl;dr im a massive nerd (but i prefer scholar ! it sounds better lolol)

-

Lastly, I just wanted to plug my two new tumblrs I made recently!

You can find me there on those two, probably talking about my classes or work or other news. And productivity! megbrittstudies.tumblr.com & notreallystudyingcs.tumblr.com

　

Thank you for reading this far !! ily ! ♡

[womaneng]

View this post on Instagram

A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started:

1. Start with the Basics:

- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.

- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.

2. Learn Mathematics and Statistics:

- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.

- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.

3. Online Courses and Tutorials:

- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.

4. Structured Learning Paths:

- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.

5. Practice with Real Data:

- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.

6. Coding Exercises:

- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.

7. Learn Data Manipulation and Analysis Libraries:

- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.

For more follow me on instagram.

[megumi-fm]

18 day habit tracker

since the year started, days are passing by and sure I'm doing alright and getting stuff done but lately it just. feels like I'm whiling away a lot of my time which which I could spend learning or doing a lot of things that I've kept shelved for years. I want to make better use of my days and I want to understand how to kind of... develop the intrinsic motivation to improve my productivity. additionally, I also need to do things to take better care of my help given the harsh weather and my ankle (im)mobility.

so I've decided to spend the next 18days trying to be more conscious of how I'm spending my time and also trying to push myself little by little. in this eighteen days I want to figure out what my limits are (vs what I think my limits are) and I also want to understand how to stay consistent and maintain the momentum I need to keep going. eighteen seems like a small enough number to start with; from some surface web scouring it seems like 18days is the minimum number of time it takes to develop a habit. and coincidentally enough it's my birthday in exactly 18days so it seems like a good place to start

to track

🥛 water intake ⏰ hours of sleep +sleep and wake times 📵 phone usage 🍉 fruit intake +the kind of food I'm eating in gen 📖 reading

---

personal goals

🧮 relearning math my relationship with mathematics has been quite messy since junior college and it has only worsened through the past four years of engineering(with the introduction of multivariate calculus and Laplace transforms and whatnot)... it feels kind of late and embarrassing to start now but I really want to understand math better and enjoy doing it and now is a good time to face my fear/discomfort and start over at the very basics. I'm gonna start with precalculus and linear algebra

💃 dancing I used to dance all the time as a kid and then... i don't know what happened... as a lover of kpop choreographies it's heartbreaking to realize I haven't learnt nearly as many dances as I'd have liked to. The year started off pretty strong but then my ankle got in the way and... yeah... I want to get back into dancing both as a means to improve my mobility and as a means of exercise, and also because I enjoy dancing in gen... and four to five days seems like good enough time to learn a single dance so i hope to learn the choreography of atleast 3-4 dances in these 18days

✏ art I have wanted to learn drawing for years now but for some reason I just never seem to get around to it (the 'some reason' being my impatience and inability to accept that I'm actually a beginner) but yknow what. if I'm anyway going to feel bad about how poor I am at drawing, I might as well do it while drawing poorly instead of trying to avoid it. I've decided to use this youtube playlist as my starting point

🍳 cooking for someone who is planning to live abroad and live alone I can't cook to save my life, but putting that aside, the main reason I want to cook is that a lot of my favourite regional cuisine is centered towards dishes for the winter and I want to learn to make tasty + nutritional food suitable for this summer heat without resorting to consuming excessively sugared juices and soda in copious amounts

---

yeah. day1 starts today. I hope it works out. my weekly tracker and my work tracker will also be updated in parallel

[talesofsorrowandofruin]

Incorrect Quotes Tag

Thanks for tagging me, @squarebracket-trickster! :D

Rules: use this link to generate some incorrect quotes for your characters!

For The Case-files, Uneasy Money, and The Circle of Little Animals:

Paul: Sometimes I feel like Gilbert doesn't take me seriously enough Nicholas: "Sometimes"? Arthur: "Enough"?

Evelyn: What are you doing here? Sinclair: I could ask you the same question Evelyn: This is my room! Sinclair: I could ask you a different question

Helena the First: You saved me! Why? Thomas: People would think I murdered you if I didn't

Alec: I can't find Davit! Phil: Leave it to me. Phil: *raises her voice* Alexander Lennox is an idiot! Davit, in the distance: WHAT THE FUCK DID YOU JUST SAY Phil: Found him

Hyeon-su: Can you recommend a book that'll make me cry? Yo-han: Certainly! Here's a complete collection of The Beginner's Guide to International Law, plus A Concise Look at Politics, General Economics, Philosophers on Crime, and all of my Algebra textbooks.

Helena the First: I am not in the habit of talking nonsense! Tarka: You're doing very well for a beginner

Gilbert: Are you trying to seduce me? Thomas: Why? Are you seducable?

Ji-hun: I'm a reverse necromancer Yo-han: That's. That's just killing people

Tagging @kaylinalexanderbooks, @fiyr-cap, @whimsy-of-the-stars, and anyone else who wants to do this! :D

[sonofstarsnsea]

It's ok for beginner to reach out deity like for example demon of ars goetia. Then if so what step they should follow

I gotta state that I personally wouldn't reach out to any daemon.

Demonolatry is a work based on mutual respect. And the most important thing about it is to leave lesser beings alone. If a lesser being (in this case, the Ars Goetia) doesn't want to work with you, leave it. Don't force it. It is not "personal", maybe your energies don't get along together or is not the appropiate time to work with them yet.

I knew when to reach out once my main patrons came to me and formally presented to me in a dream. It was a clear sign of them having interest in my soul/energy and I happily accepted their prescence.

Even so, Marquis Andrealphus is not very present anyways but I don't feel bad about it nor I try to force a connection between us. He aids me when it is necessary (regarding algebra) and leaves when he is no longer needed; in comparasion with King Paimon who he is always with me and rarely leaves.

TL;DR - Wait for a clear signal that a daemon has interest in you (i. e. via dreams or divination) and then start to work with them to see how your dynamic is going to work.

[boycritter]

found a topology book i want to read over the summer that was recommended as 'beginner friendly' but the pre-reqs the author recommends are a year of real analysis and a semester of abstract algebra. so i found a real analysis book i'm hoping is good and also an abstract algebra book that says you need some knowledge of linear algebra so i think if i watch like one video about matrix stuff and then read the analysis book and half the abstract algebra book i can learn the stuff in the book i actually want to read

[sonadukane]

How to Become a Data Scientist in 2025 (Roadmap for Absolute Beginners)

Want to become a data scientist in 2025 but don’t know where to start? You’re not alone. With job roles, tech stacks, and buzzwords changing rapidly, it’s easy to feel lost.

But here’s the good news: you don’t need a PhD or years of coding experience to get started. You just need the right roadmap.

Let’s break down the beginner-friendly path to becoming a data scientist in 2025.

✈️ Step 1: Get Comfortable with Python

Python is the most beginner-friendly programming language in data science.

What to learn:

Variables, loops, functions

Libraries like NumPy, Pandas, and Matplotlib

Why: It’s the backbone of everything you’ll do in data analysis and machine learning.

🔢 Step 2: Learn Basic Math & Stats

You don’t need to be a math genius. But you do need to understand:

Descriptive statistics

Probability

Linear algebra basics

Hypothesis testing

These concepts help you interpret data and build reliable models.

📊 Step 3: Master Data Handling

You’ll spend 70% of your time cleaning and preparing data.

Skills to focus on:

Working with CSV/Excel files

Cleaning missing data

Data transformation with Pandas

Visualizing data with Seaborn/Matplotlib

This is the “real work” most data scientists do daily.

🧬 Step 4: Learn Machine Learning (ML)

Once you’re solid with data handling, dive into ML.

Start with:

Supervised learning (Linear Regression, Decision Trees, KNN)

Unsupervised learning (Clustering)

Model evaluation metrics (accuracy, recall, precision)

Toolkits: Scikit-learn, XGBoost

🚀 Step 5: Work on Real Projects

Projects are what make your resume pop.

Try solving:

Customer churn

Sales forecasting

Sentiment analysis

Fraud detection

Pro tip: Document everything on GitHub and write blogs about your process.

✏️ Step 6: Learn SQL and Databases

Data lives in databases. Knowing how to query it with SQL is a must-have skill.

Focus on:

SELECT, JOIN, GROUP BY

Creating and updating tables

Writing nested queries

🌍 Step 7: Understand the Business Side

Data science isn’t just tech. You need to translate insights into decisions.

Learn to:

Tell stories with data (data storytelling)

Build dashboards with tools like Power BI or Tableau

Align your analysis with business goals

🎥 Want a Structured Way to Learn All This?

Instead of guessing what to learn next, check out Intellipaat’s full Data Science course on YouTube. It covers Python, ML, real projects, and everything you need to build job-ready skills.

https://www.youtube.com/watch?v=rxNDw68XcE4

🔄 Final Thoughts

Becoming a data scientist in 2025 is 100% possible — even for beginners. All you need is consistency, a good learning path, and a little curiosity.

Start simple. Build as you go. And let your projects speak louder than your resume.

Drop a comment if you’re starting your journey. And don’t forget to check out the free Intellipaat course to speed up your progress!

[katzensilber]

Today's studies:

Apr. 27 - Music: vocal practice, piano practice, guitar practice - Art: completed Unit 1 (Why art matters) of the “intro to art history” course (titled simply “Start here”) from SmartHistory.org - Chinese: Assimil “Le Chinois sans peine” lesson 5 (passive wave) - Chinese: read a beginner-level passage on LanguageCrush (30 new words learned) - Croatian: read a few pages in Croatian on LanguageCrush (195 new words learned) - Math: Khan Academy Algebra I (unit 2)

I decided to alternate days on which I do either art history or music theory. Soon, as I progress to harder material in my language studies, I'll also probably alternate days between Croatian and Chinese.

(We'll see how long this plan lasts. I have never stuck to a schedule in my life.)

I also spent a lot of today working on various musical projects with some musician buddies, as I wrote about over on my main.

Now I'm tired. Time for bed and a little reading before I sleep 😴

[radfemsiren]

do you have any recommendations for secular resources to learn about Islamic history?

Karen Armstrong’s “Islam, A Short History” is really good if you are a beginner and just want a basic breakdown. She is criticized for being oversimplistic and she’s not a historian, so if you want something really academic and thorough then historians like Robert Hoyland or Albert Houraini would be better. “A history of the Arab Peoples” by Albert Houraini is the gold standard.

Btw if you want something for fun, “1001 Islamic Inventions” is a great read and really demonstrates how much the golden era of Islamic inventions shaped our modern world! The scalpel, algebra, the pinhole camera, Arabic numerals, it’s crazy! Such a shame religious fanaticism and war destroyed so much potential in these regions.

[secondaristh]

What are some common misconceptions that people have about math? (Not sure if this is a real thing to have a question/answer about...answer it in any way you see fit)

Hmm idk if you mean common mistakes I see, but people often struggle with exponents when they’re starting out. They make up new (false) rules that seem “close enough” to things they sorta remember for other operators. I think a lot of good could be done with more discipline in notation earlier in a student’s career. That way, if something looks weird when you write it, it’s probably because there’s a mistake earlier you can go find.

As far as broader misconceptions, a lot of people seem to think they won’t use math much outside of a classroom. That’s probably true if you limit yourself to the only thing that counts as math is sitting down with a pencil and paper doing long division. That’s like saying you’ll never need to know English because you don’t read a book every day. In reality, you’ll be doing math without realizing it most of the time. When should I leave for work if I have to do an errand? Math. Can I afford to buy such and such if I also need to save for this thingamajig? Math. Will this object fit into this space? Math. Do I have enough so and so to feed everyone? Math.

There’s also the misconception that schools dont teach you the math to do your taxes. Honestly, you know all the math you need to do that in elementary school. What you’re lacking there is legalese and terminology answers. That’s never gonna be taught in k12. Aim higher. I’m a firm believer for math that if you want to be sure that someone understands X, they need to learn the material that comes after X and depends on it. For example, if you want a student to leave your institution confident in basic algebra, they should need to at least pass a beginners calculus class.

[orion-starbelt]

I was asked recently to give some advice on what books a library that was being started should try to get. Here’s what I said,

“1. Y.A. Novels (any genre is really fine, this is the main fiction part that I’d focus on)

2. Educational (any nonfiction that is about learning something, either physical or theoretical) - I’d say this category would also be the basic summary of classes type stuff. Like crash course but book form. A basic review of bio, chem, algebra, geometry, English, stats, etc, etc. For those who need a refresh, a reference, or cannot afford or otherwise cannot go to school)

3. Historical (especially different accounts of the same event from different perspectives, even better if it’s not like the victors or if it’s marginalized people. Evidence based historical books like diaries would be amazing as well. Books that are based on historical events are nice because they can help people understand but they tend to gloss over the actual facts sometimes)

4. Picture books (kids books can be helpful, just make sure they’re diverse, or just other basic diagram books for things like plants or similar. Not everybody can read or has the eyesight to be able to read text)

5. Language (a variety of beginner language books or resources -flashcards, dvds, cds, etc-. Focus most on English and Spanish but if you can get ASL, French, German, Japanese, Mandarin, etc. Focus on the most popular languages than branch out. Books on Morse code, asl, or other non verbal languages would be amazing as people don’t need to be able to speak to communicate

6. Home steading ( how to live off the grid type books basically. Like how to cook, sew/knit, garden, can foods, clean, gather wild stuff, basic safety, how to make dirty water clean, how to make sure food is safe to eat, basic survival skills, basic first aid, basic wilderness skills, knots, etc. Whatever you might think you would need if you were in a zombie apocalypse)

7. Don’t forget reference type books like dictionaries and thesaurus’s.”

I believe that information should be freely available. Banned books are an assault against knowledge itself and all the centuries we’ve spent learning about everything around us. If knowledge is power, than they are keeping us powerless.

My hope is that for those who have the ability to do something but who don’t have the resources available to afford an education, to get a job, to learn a language, to survive; are able to learn. To have a foundation to build off of in their attempt at survival and at living in this capitalist hellscape.

Knowledge should never be hidden. Donate old items. Thrift as much as you can. Volunteer. Recycle. Never stop working towards bettering your knowledge and yourself.