#python syllabus

[indiangp]

Interview went ass 👍🏻

[writeitinsharpie]

the entire time i was in my psychiatric appointment i was like "this dude's going to think that i'm just making this all up or that i'm faking or that my symptoms aren't enough"

and then like 20 minutes in he goes "yeah, you have primary inattention. wanna talk about meds?"

[nextskilltechnologies]

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[ms-demeanor]

*screaming*

*continued screaming*

Okay. So. My introductory Visual C# class.

The professor for that class was Alice. Alice was the person who spoke in the introductory video and the person who we were supposed to email if we had any issues.

But all of the assignments, lectures, and quizzes were written and delivered by Bob. On the youtube channel "Bob's programming academy." The quizzes included Bob's name, like "if you do X will it return the string ProfessorBob, Professor, Bob, or Professor.Bob?"

This class was really frustrating for me because it was structured in such a way that you could easily pass the class with zero knowledge of the subject - it was totally based on quizzes that you could take an unlimited number of times and we *had* weekly programming assignments but they weren't graded so there was no incentive to do them (and look, if I wanted to teach myself programming with no incentives I could fail for several years to do that on my own, I don't need to pay fifty bucks a unit for that; the reason I am in a *class* and am not self-taught is because I need external motivation. That's why I sought out a class).

Also when there *was* a problem with an instruction that was unclear in one of the videos for the assignments, or if I thought I'd done something correctly that was very much incorrect, it wasn't Alice who had created the instructions, it was Bob - in 2017 no less - and I didn't really feel like I could ask Alice for help with an ungraded assignment that she hadn't written.

So. Now. My Python class.

Today is the first day of class. Professor is Charles.

I go to the mandatory attendance quiz and it is word-for-word the same mandatory attendance quiz as the C# class, down to the final question "what is your personal email address so I can keep in contact with you after the semester?"

I look at the syllabus.

Class grade is based on quizzes. We have assignments but none of them are graded. There's no textbook, just a series of videos from Professor Bob's Programming Academy.

So I'd been toying with staying at this school and trying to take more CS classes instead of going to another school, just to try to keep my records easier to manage, but since it seems like that *ENTIRE DEPARTMENT* is five Professor Bobs in a trenchcoat, I will probably be going somewhere else (and once again trying to force myself to do projects that I already know are *good for me to do* but *useless for the class and a massive time suck*)

I should drop this class. I should drop this class and apply for the other school so that I can start taking classes there in the spring because if I take this class and then go into the object oriented programming class in the spring and it's another professor bob sock puppet and I end up taking twelve units of programming classes where all I learn is how to google answers in a short time frame (something I already know how to do thanks) I am going to fucking lose it.

Also, again: I have a Bachelor's Degree. I spent five years at a community college when I was getting that degree. I took probably a dozen online classes starting in 2005 and going until 2011 in the process of getting that degree.

THIS bullshit, this "I'm your professor but actually I'm not and all the materials were created by someone else in the department or came directly from the textbook publisher and there is no writing and there are no assignments everything is multiple choice quizzes that are automatically graded" is *dogshit.*

This is NOT how online classes worked back in my day, not even online math classes, and as much as I know adjuncts are getting fucked over by academia in general, this isn't something that these professors should be getting paid as much as they are to do. Alice checked whether or not students turned in a hello world assignment and gave a pass/fail grades for three discussion boards that were responses to youtube videos. Nothing else in the class required her input. If this is the level of instruction that students are getting then the class is already automated and the students shouldn't have to pay for it.

This is crap. This is an incredible level of crap.

[nowimabeliever]

just imagine. professor dougdoug

You show up to Professor Wreden's class with a sinking feeling in your gut. Your advisor told you last term that every student in your major should take a programming class at one point- sure, it's not in the degree requirements, but she said it's very relevant to the field.

She even told you the registration number to put in- it's really on you that you didn't realize she gave you the wrong one.

Because you didn't register for CS 110, Fluency with Information Technology, the intro to computer science class for people like you whose programming experience extends to underlining text in HTML.

Instead, you registered for CS 210, Computer Science I, a class whose description clearly reads Prior programming experience expected.

Maybe it won't be so bad, you thought, until your roommate's friend showed you the syllabus from last term. Last night. And yeah, you're fucked.

You'll have to go to the advising office right after class, get this figured out. Surely there's spots left in the 110 class.

As you take your seat, all the way to the side and halfway back in the lecture hall, you pull out your phone to search Rate My Professor. If nothing else, maybe he's not a harsh grader? That's your only hope of passing, really. C's get degrees- if you can even manage that.

Thankfully, his initial rating is pretty good, but that's all you have time to look at before a voice at the front of the room stops all the conversations around you.

"All right everyone, welcome to CS 210, Computer Science I," the voice says, and oh, you must be dreaming.

Tall, brown hair, glasses, facial hair- and those shoulders. Compared to the guys sitting in the seats around you, Professor Wreden (Just call me Doug, he insists) is a Greek god. You barely hear the rest of his introduction as his TA passes out the syllabus, instead staring at his arms and chest. He's wearing a V-neck sweater with the sleeves pushed up to his elbows, revealing copious chest hair and arm hair.

You kick yourself a little bit for sitting further back in the lecture hall- everybody in the front rows is getting an excellent view of the way his sweater and jeans hug his muscles as he paces the front of the room, gesticulating broadly.

Goddamn is the only thought in your brain as he finishes explaining the syllabus and jumps into talking about Python. Even from back here, you can see his eyes get a little brighter when he starts talking about programming.

Gorgeous and passionate- it's hard enough to find a professor that has just one of those qualities, let alone both. And in the computer science department, no less.

How has nobody told you about this guy before?

As you leave class that day, you make sure to take note of his office hours. You'll be going to every single one.

[blubberquark]

Why Not Write Cryptography

I learned Python in high school in 2003. This was unusual at the time. We were part of a pilot project, testing new teaching materials. The official syllabus still expected us to use PASCAL. In order to satisfy the requirements, we had to learn PASCAL too, after Python. I don't know if PASCAL is still standard.

Some of the early Python programming lessons focused on cryptography. We didn't really learn anything about cryptography itself then, it was all just toy problems to demonstrate basic programming concepts like loops and recursion. Beginners can easily implement some old, outdated ciphers like Caesar, Vigenère, arbitrary 26-letter substitutions, transpositions, and so on.

The Vigenère cipher will be important. It goes like this: First, in order to work with letters, we assign numbers from 0 to 25 to the 26 letters of the alphabet, so A is 0, B is 1, C is 2 and so on. In the programs we wrote, we had to strip out all punctuation and spaces, write everything in uppercase and use the standard transliteration rules for Ä, Ö, Ü, and ß. That's just the encoding part. Now comes the encryption part. For every letter in the plain text, we add the next letter from the key, modulo 26, round robin style. The key is repeated after we get tot he end. Encrypting "HELLOWORLD" with the key "ABC" yields ["H"+"A", "E"+"B", "L"+"C", "L"+"A", "O"+"B", "W"+"C", "O"+"A", "R"+"B", "L"+"C", "D"+"A"], or "HFNLPYOLND". If this short example didn't click for you, you can look it up on Wikipedia and blame me for explaining it badly.

Then our teacher left in the middle of the school year, and a different one took over. He was unfamiliar with encryption algorithms. He took us through some of the exercises about breaking the Caesar cipher with statistics. Then he proclaimed, based on some back-of-the-envelope calculations, that a Vigenère cipher with a long enough key, with the length unknown to the attacker, is "basically uncrackable". You can't brute-force a 20-letter key, and there are no significant statistical patterns.

I told him this wasn't true. If you re-use a Vigenère key, it's like re-using a one time pad key. At the time I just had read the first chapters of Bruce Schneier's "Applied Cryptography", and some pop history books about cold war spy stuff. I knew about the problem with re-using a one-time pad. A one time pad is the same as if your Vigenère key is as long as the message, so there is no way to make any inferences from one letter of the encrypted message to another letter of the plain text. This is mathematically proven to be completely uncrackable, as long as you use the key only one time, hence the name. Re-use of one-time pads actually happened during the cold war. Spy agencies communicated through number stations and one-time pads, but at some point, the Soviets either killed some of their cryptographers in a purge, or they messed up their book-keeping, and they re-used some of their keys. The Americans could decrypt the messages.

Here is how: If you have message $A$ and message $B$, and you re-use the key $K$, then an attacker can take the encrypted messages $A+K$ and $B+K$, and subtract them. That creates $(A+K) - (B+K) = A - B + K - K = A - B$. If you re-use a one-time pad, the attacker can just filter the key out and calculate the difference between two plaintexts.

My teacher didn't know that. He had done a quick back-of-the-envelope calculation about the time it would take to brute-force a 20 letter key, and the likelihood of accidentally arriving at something that would resemble the distribution of letters in the German language. In his mind, a 20 letter key or longer was impossible to crack. At the time, I wouldn't have known how to calculate that probability.

When I challenged his assertion that it would be "uncrackable", he created two messages that were written in German, and pasted them into the program we had been using in class, with a randomly generated key of undisclosed length. He gave me the encrypted output.

Instead of brute-forcing keys, I decided to apply what I knew about re-using one time pads. I wrote a program that takes some of the most common German words, and added them to sections of $(A-B)$. If a word was equal to a section of $B$, then this would generate a section of $A$. Then I used a large spellchecking dictionary to see if the section of $A$ generated by guessing a section of $B$ contained any valid German words. If yes, it would print the guessed word in $B$, the section of $A$, and the corresponding section of the key. There was only a little bit of key material that was common to multiple results, but that was enough to establish how long they key was. From there, I modified my program so that I could interactively try to guess words and it would decrypt the rest of the text based on my guess. The messages were two articles from the local newspaper.

When I showed the decrypted messages to my teacher the next week, got annoyed, and accused me of cheating. Had I installed a keylogger on his machine? Had I rigged his encryption program to leak key material? Had I exploited the old Python random number generator that isn't really random enough for cryptography (but good enough for games and simulations)?

Then I explained my approach. My teacher insisted that this solution didn't count, because it relied on guessing words. It would never have worked on random numeric data. I was just lucky that the messages were written in a language I speak. I could have cheated by using a search engine to find the newspaper articles on the web.

Now the lesson you should take away from this is not that I am smart and teachers are sore losers.

Lesson one: Everybody can build an encryption scheme or security system that he himself can't defeat. That doesn't mean others can't defeat it. You can also create an secret alphabet to protect your teenage diary from your kid sister. It's not practical to use that as an encryption scheme for banking. Something that works for your diary will in all likelihood be inappropriate for online banking, never mind state secrets. You never know if a teenage diary won't be stolen by a determined thief who thinks it holds the secret to a Bitcoin wallet passphrase, or if someone is re-using his banking password in your online game.

Lesson two: When you build a security system, you often accidentally design around an "intended attack". If you build a lock to be especially pick-proof, a burglar can still kick in the door, or break a window. Or maybe a new variation of the old "slide a piece of paper under the door and push the key through" trick works. Non-security experts are especially susceptible to this. Experts in one domain are often blind to attacks/exploits that make use of a different domain. It's like the physicist who saw a magic show and thought it must be powerful magnets at work, when it was actually invisible ropes.

Lesson three: Sometimes a real world problem is a great toy problem, but the easy and didactic toy solution is a really bad real world solution. Encryption was a fun way to teach programming, not a good way to teach encryption. There are many problems like that, like 3D rendering, Chess AI, and neural networks, where the real-world solution is not just more sophisticated than the toy solution, but a completely different architecture with completely different data structures. My own interactive codebreaking program did not work like modern approaches works either.

Lesson four: Don't roll your own cryptography. Don't even implement a known encryption algorithm. Use a cryptography library. Chances are you are not Bruce Schneier or Dan J Bernstein. It's harder than you thought. Unless you are doing a toy programming project to teach programming, it's not a good idea. If you don't take this advice to heart, a teenager with something to prove, somebody much less knowledgeable but with more time on his hands, might cause you trouble.

[oneictskills]

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[a-fox-studies]

Hello Iris! Im Yvaine, I've been following you for a while now and I just wanted to say that you and your blog have inspired me a lot as a student and im so thankful for that ♡

And regarding my question, I am a beginner who wants to learn how to code, so what programming language do you recommend I start with??

Thanks!

Thankyou so much!!! I'm glad I can help others by being myself :)

I started off with Java because of school syllabus, but putting that aside — if you have a particular career in mind, then go with languages that pertain to that field. For example, an aspiring web developer would start with HTML.

If you're not set on a particular field and you're completely new, then I would recommend Java for an understanding of how everything works, and to know about basic concepts. You can also learn Python, and after that you could do small projects like a tic-tac-toe game, or rock-paper-scissors game to wrap up your understanding of the basics. I feel like you'd have a good idea of everything by then <3

@vexacarnivorous @codemerything @moose-mousse you can give your opinions and suggestions too to help out :)

[goldeneducation]

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[mr-abhishek-kumar]

Morning python study log 03-11-2023

So these days I have started to stream my code study.

So today morning I learnt:

How to take absolute value. Found some anomaly in the system lol. Basically it was not taking abs() but fabs() however my python was the latest version

I studied how to sort three numbers in python, although I have done this in other language since the syntax of python is still foreign to me I had difficulty sorting them in ascending order and also descending order using the built in function sorted() and also making my own implementation

I understood what is range function and how to use it with for loops, had a bit of hit and miss while understanding how it really worked but google's bard helped, I also learnt about reverse sorting

I learnt what is interning while trying to understand the difference between identity operators and equality operators. Found some anomaly in my system again, that my computer's range of interning is much larger than what is documented ?

I learnt what is keyword argument when with using reverse built in sort, yeah so I was amazed that the order of arguments didn't mattered for keyword argument.

I was also confusing syntax of python with javascript since that is what is what recently code in.

Learnt about what does len() function does, like properly rather than just guessing about what it does.

understood about control statements such as if, else and elif

learnt about break and continue in loops in python which is same as java script.

learnt about how to check the divisibility of a number. I didn't knew that it was separate topic in my syllabus I just thought it was something people would knew.

Learnt the basics about on how to make a READ , EVAL PRINT LOOP, REPL

Learnt about stupid pattern program in python, I don't know why the heck they still teach these things and put it in syllabus. There is no real world use of it as far as I can see. I still have to post the notes about it in my blogs and store it my cloud drive.

Learnt how to do a summation of series, using and not using numpy.

figured out how to do a factorial of a number

was trying to make an short algorithm on how to do the fibonacci series but well, I was so sleepy that my mind didn't worked as it should, I took the hint from bard then felt bad that I was directly looking at the solution when rather I should sleep and approach the problem from afresh in next study stream. So stopped my study stream.

[khodorkovskaya]

life as an econ major: first impression

17.09.23

so here's the thing, the school year starts tomorrow but i still don't have my exam results... so am i actually gonna start my masters this year? who knows. i guess we'll find out tomorrow.

but the info session for this program took place on friday so i went despite the fact that i still don't have my results. and here's how it went.

so first we had a big info session for all the masters programs at the economics and management faculty. and there are like 5 different programs, we were about 50-60 people id say. the session was quite boring bc it was mostly for people who are new to the university overall. so they just like explained all the administrative stuff like how to sign up for courses, what moodle is, etc. so i didn't learn anything new. and i looked around to see what kind of people study economics and management. and i really felt out of place. idk, maybe it's my "not like other girls" syndrome or idk what. but i really felt like i didn't belong. contrary to what id imagined, it was mostly women. mostly my age and older. a couple of people in their 30s-40s too. but mostly like yeah, girlies in their mid to late twenties. dressed in skinny jeans. and michael kors bags. all with straight or straightened hair. the vibe was very much french, no offense... and the few guys who were there were also very french. like skinny jeans and hair that's like shaved on the sides. it was giving tiktok fuckboys circa 2020.

then we were split up into our different master programs. and our group only had 11 people. 3 guys, 8 girls. mostly foreign and like half poc. so there was me, a girl who just moved from spain who worked for this like eu organisation in paris, an indian girl who did econometrics and maths, a hijabi girl and a moroccan (?) girl who both did their bachelors here, a guy who just moved from lebanon, an asian girl who did international relations here, a girl who's doing a second masters, and a guy i went to hs with who studied in exeter. and that was quite awkward cos he came up to me like "heyyy you went to [school name], right?" and i was like ummmm who are you. and he was like "yeahh we had german and maths together". and i had no idea who he was. and then he said his name and that also didn't ring a bell at all. i was like bro i am so sorry.

so yeah, the head professor explained how the program works, like how many credits you need, what classes to take, etc. he was very cool and i started to get more enthusiastic about doing this actually.

and then we all had drinks in the main hall and i talked to the spanish girl, the 2nd masters girl and the high school guy.

and yesterday i looked at my schedule and registered for each of the courses on moodle. and... had a mental breakdown...

because it sounds like my worst nightmare.

first of all, im gonna have to write essays. i haven't written an essay since high school. i don't know how to cite. i don't know how to read either tbh. like how do i read a paper about economics?? i don't know what any of it means.

i looked at the syllabus for every course. and none of it makes sense. i don't even believe in inflation. like isn't inflation a deviantart fetish? and wtf is gdp. like.

secondly, 60% of the grade for these courses is group projects. again, i haven't done a group project since high school. it terrifies me. like. the responsibility of working with people. is terrifying. and you have to make a powerpoint presentation and write a paper. in a group! like.... how???? i don't know how to do either of these things.

and for the elective courses i was like okay im gonna pick the maths ones bc there's no way in hell that im gonna choose to write even more essays. but! the maths electives that i have are all programming! i don't know how to code! you need to know python! and like how to do like time projections and shit. ive only done matrix multiplication on matlab in like the first semester of my bachelors. i fucking hate computers and matlab was hell, i didnt undertand any of it, it was my worst grade. so how am i gonna do python?

another thing that sounds like absolute hell is coursework. in maths it was easy. you go to class (or don't, up to you!) and you have an exam at the end of the year and that's your grade. but here you have papers to hand in every week. and graded homework. and presentations. my lazy ass is actually gonna have to work throughout the year. i thought about it yesterday and cried.

anyway, studying economics sounds like a neurodivergent nightmare.

and okay i thought id stop there but!!! the topics that im gonna have to write papers on... y'alll.... i don't give a shit about the economic impact of russian sanctions like

how do i give a shit ????

and i looked at the first problem set and at first i was like oooo maths! looks familiar! but the thing is, i can't read. like whenever i see a word problem my brain just makes the internet dial up noise. wtf does this mean???

i showed it to my stepdad and he was like "huh that's easy, that's just cross multiplication". and guys. you don't understand. but i don't know how to do percentages. i don't know how to solve first degree diff equations. i can't do basic maths. i can only prove theorems on abstract topics and that's it. 2+2 i don't know her. what the fuck is a growth rate. like. i can't read.

fuck. i am so stressed.

[sensiblymellowspell]

Unlock Your Tech Career with an Online BCA Course – Flexible, Future-Ready & Career-Focused

In today's digital era, the demand for skilled IT professionals is rising rapidly. If you’re passionate about technology, programming, and system development, pursuing an online BCA (Bachelor of Computer Applications) course can be your stepping stone into the tech world. Designed for students who seek flexible learning without compromising on the quality of education, the online BCA course offers a modern alternative to traditional classroom learning.

This mode of learning is ideal for working professionals, students from remote areas, or those who simply prefer learning at their own pace. Through BCA in distance education, students gain deep insights into computer applications, software development, and data handling. Whether you're interested in coding, app development, or IT infrastructure, an online BCA degree prepares you for it all.

What is an Online BCA Course?

The online BCA course is a three-year undergraduate degree program that equips students with comprehensive knowledge in computer science, programming languages, web technologies, and database management. With BCA distance learning, students access quality study material, attend live or recorded lectures, participate in virtual labs, and complete projects — all without visiting a physical campus.

Unlike conventional setups, distance BCA offers unmatched convenience. From online BCA admission to accessing learning materials anytime, everything is conducted digitally. The course is ideal for learners who are self-motivated and committed to building a future in IT. You can simply bca apply online, attend classes virtually, and appear for exams from the comfort of your home.

At University Vidya, students get detailed guidance throughout their journey—from bca course apply online to project completion and beyond. University Vidya simplifies the process, ensuring that students can smoothly enroll in the online BCA program and receive expert assistance at every step.

Benefits of Choosing University Vidya for Your Online BCA Journey

Choosing the right platform to pursue your online degree BCA is crucial. University Vidya stands out as a trusted name that connects learners to reputed online programs, especially those in demand like BCA. Here’s why learners prefer University Vidya:

Expert Guidance at Every Step: From online BCA admission to selecting electives, University Vidya offers personalized counseling to make your academic path clear and straightforward.

Flexible Learning for All: With BCA in distance education, University Vidya ensures students can balance work, life, and studies without compromising on learning outcomes.

Updated Curriculum: The BCA course syllabus aligned by University Vidya includes trending topics like AI basics, cloud computing, Python programming, web development, and cybersecurity.

Easy Application Process: Through University Vidya, you can bca course apply online quickly, avoiding tedious offline procedures. Everything is digital, fast, and student-friendly.

Career-Ready Curriculum: The bca course details offered by University Vidya include practical projects, case studies, and hands-on training, enabling students to build real-world skills.

Trusted Support: University Vidya acts as a bridge between you and top online programs. Their dedicated support team ensures that students get timely help regarding admission for BCA course, assignments, exams, and more.

What You Will Learn in the Online BCA Program?

The bca course syllabus is tailored to build foundational and advanced IT skills. Whether you’re interested in software development or database management, the syllabus includes essential subjects such as:

Fundamentals of Computers

Programming in C/C++

Data Structures

Database Management Systems

Operating Systems

Web Design & Development

Computer Networks

Software Engineering

Python Programming

Mobile App Development

These bca course subjects are structured to give students a mix of theoretical knowledge and hands-on experience. Through live projects and coding assignments, learners gain real-time problem-solving abilities.

BCA Course Eligibility Criteria

To pursue the best online BCA course, candidates must meet the basic BCA course eligibility criteria. Generally, students should have completed their 10+2 (in any stream) from a recognized board. Basic computer knowledge is preferred, but not mandatory.

With University Vidya, eligibility assessment is made simple. Their team helps students verify qualifications and guides them through the bca course online admission process with ease.

Why Choose University Vidya for Your Online BCA?

University Vidya is more than just an enrollment platform — it's your academic partner. Whether you're looking for distance BCA course options or detailed advice about the online BCA course fees (without financial discussion here), University Vidya helps you make informed choices tailored to your career aspirations.

From selecting the best online BCA course to guiding you through virtual learning platforms, University Vidya ensures every student receives holistic support. If you’re ready to explore a career in IT, University Vidya is the platform to trust for a smooth, credible, and future-focused online BCA degree journey.

Final Thoughts: Take the First Step with University Vidya

In the evolving world of technology, having a strong academic foundation is key. The online BCA program empowers learners with the flexibility to study from anywhere, at their own pace, and earn a respected degree in computer applications. By choosing University Vidya, you are not just enrolling in a course — you're beginning a journey that opens doors to innovation, creativity, and countless career opportunities in the IT world.So why wait? Choose University Vidya to begin your distance learning BCA today. Whether you're a recent school graduate or a working professional seeking a career switch, the future is just a click away. BCA course apply online now and build the career you've always dreamed of — with confidence, with flexibility, with University Vidya.

[despuneuniversityblogs]

Everything You Should Know Before Applying for a BSc in Computer Science

A BSc in Computer Science is one of the most sought-after undergraduate programs in today’s tech-driven world. Whether your goal is to become a software engineer, data scientist, or cybersecurity analyst, this degree can provide the foundation you need. If you are preparing to apply, here is a comprehensive guide to help you navigate the admission process and make informed decisions.

Why a BSc in Computer Science Matters

A BSc in Computer Science is more than just coding. It covers:

Core programming languages like Java, C++, and Python

Understanding of data structures, algorithms, and software design

Database systems and computer networks

Topics in operating systems and computer architecture

Foundations in mathematics, statistics, and logic

The course equips you with problem-solving skills, computational thinking, and analytical ability. These are needed in nearly every industry—from finance and healthcare to education and entertainment.

What to Check Before You Apply

Entry Requirements

Most colleges ask for a 12th-grade qualification with a strong background in mathematics and science. Marks of 50 to 60 percent, along with passing English, are commonly accepted. Some institutes may have entrance tests, while others go by merit list.

Entrance Exams

If your college requires an entrance exam, you should prepare for:

Questions on mathematics and basic logic

Short programming problems or pseudocode

Analytical reasoning and general English

Practice previous year papers and time-bound quizzes. Also, build your conceptual clarity by revising algebra, calculus, probability, and logical reasoning.

Application Timeline

Keep track of deadlines. Most applications open between December and March. Entrance exams are typically held in February or March. Merit lists or admission offers may come by April or May.

Supporting Documents

You usually need:

School leaving certificate or mark sheet of the 12th exam

Proof of identity and residency

Passport-size photographs

Entrance exam scorecard (if applicable)

Letters of recommendation or statement of purpose (varies by college)

Application Fees

Most colleges charge application fees ranging from INR 500 to INR 2,000. Make sure to pay these on time through the correct channels.

Choosing Among Colleges in Pune

If you are planning to study in Pune, consider these factors:

Curriculum and Syllabus

Choose colleges that offer courses in programming, database management, machine learning, web development, and cybersecurity. Exposure to project-based learning and open-source contributions adds real value.

Faculty Expertise

Look for lecturers and professors with experience in software development, research, or industry projects. Their mentoring can help you understand not just theory but its practical applications in real-world scenarios.

Infrastructure and Labs

Ensure the college has modern computer labs, licensed software, cloud access, and hardware systems for networking and database practice. A supportive infrastructure enhances your learning experience.

Internship and Industry Ties

Real-world exposure is essential. Look for institutes with industry partnerships that offer internships, placement support, tech fests, coding workshops, hackathons, and career guidance.

Placement Record

Find out about the average package and companies that visit the campus. Reliable placement statistics are an indicator of how well alumni are performing in the industry.

Spotting a Good Fit: Case of DES Pune University

Among the top colleges in Pune, DES Pune University is known for its BSc Computer Science program. Its curriculum covers modern technology topics such as data structures, object-oriented programming, database systems, artificial intelligence, and web development.

The program focuses on building strong mathematical foundations along with practical programming skills. Students have access to high-end computer labs, licensed software, and cloud platforms. The faculty includes professionals with industry and academic experience.

DES Pune University fosters real-world exposure via workshops, guest lectures, hackathons, and internships with local software companies. The career cell supports students with placement preparation, resume building, and interview coaching.

Steps to Apply for BSc Computer Science

Research colleges based on your interests and academic profile

Check eligibility criteria, including courses, mark requirements, and entrance tests

Register early on university portals to stay ahead

Prepare for entrance exams by revising math, logic, and programming fundamentals

Submit your application with complete documents before the deadlines

Follow-up on admit cards, test dates, interviews, or counseling sessions

Confirm your admission once selected, paying required fees to secure your seat

Why Attention to Detail Matters

Your admission depends on both academic preparation and planning. A focused study schedule, organized documentation, and awareness of dates give you confidence and reduce stress. These steps also demonstrate your commitment and discipline to future professors and employers.

Final Thoughts

Applying for a BSc in Computer Science involves more than just grades. It is about finding a program that balances theory and practice, ensuring you have the infrastructure, mentorship, and opportunities to grow. Institutions like DES Pune University deliver on all these fronts by offering a thoughtfully structured curriculum, hands-on experience, and strong support systems. With proper planning and dedication, you can set yourself up for a successful career in tech.

[skillpilothub]

What You’ll Learn in a Data Science Bootcamp: A Syllabus Breakdown

At a time when companies are so dependent on information, it is not an exaggeration to say that the job of a data analyst is essential. Data analysts are vital whether they report to a retail company to understand their customer behaviours or a hospital to understand how to treat its patients better by making sense out of their data insights. So what can one do on those with little or no background in data? The following guide will help you, even starting with zero, on how to become a data analyst.

What Does a Data Analyst Do?

It is good to know what a data analyst does before getting straight to the steps. A data analyst gathers, analyses and interprets data in order to aid organizations undertake problem solving and make sound decisions.

Key Responsibilities Include:

Collection and cleaning up of data

operative Trends and pattern analysis

Report and dashboard creation

Presenting clear solutions to laypeople teams

Consider a data analyst as a translator, one who makes confusing numbers tell stories that other individuals can be able to act on.

Step 1: Understand the Role and Assess Your Interest

Everyone fond of the numbers is not suited to do the data analysis. It takes curiosity, attention to details, and communication abilities.

Problem:Most novices believe that it is more concerned with coding or math, but pay insufficient attention to the storytelling part and critical thinking.

Solution: Start by reading job descriptions or talking to professionals. Ask yourself:

Is it that I like solving puzzles?

Do I get along or am I comfortable with spreadsheets or numbers?

Is my preference to get the solution based on data?

Real-life example: Sarah, a customer support rep, saw trends in the field of complaints and began to monitor it in Excel. She did not realize it at the time, but she was already engaging in this kind of basic data analysis.

Step 2: Learn the Basics of Data and Analytics

You don’t need a degree in statistics to start, but you do need foundational knowledge.

Core Areas to Learn:

Spreadsheets (Excel or Google Sheets): These are often the first tools used for data analysis.

Statistics and Math: Understand averages, medians, probability, and standard deviation.

Data Visualization: Learn how to create charts and graphs that make data easy to understand.

Basic SQL (Structured Query Language): This helps you access and retrieve data from databases.

Antithesis: Some argue that you need to master advanced programming languages first. But in reality, many data analysts begin with spreadsheets and work their way up.

Step 3: Learn a Data Analysis Tool or Language

Once you’ve mastered the basics, it’s time to get comfortable with one or more tools used in the field.

Commonly Used Tools:

SQL: For querying databases

Python or R: For advanced analysis and automation

Tableau or Power BI: For creating dashboards and visual reports

Practical Tip: Don’t try to learn everything at once. Choose one tool based on the kind of job you’re aiming for. If you're interested in marketing analysis, Excel and SQL might be enough to start. If you’re leaning towards finance or research, Python may be more useful.

Step 4: Work on Real Projects

The theoretical study is amazing, but the practice is what leads to development.

Problem: Most learners are helpless upon completion of courses: they have experience only.

Solution: Run your own project. For example:

Open government data analysis

Follow your own spending and start trending

Compare the house prices locally based on the available information provided by the government

Real-life example:  John, a teacher who was transformed into a data analyst, will have opportunities to find patterns and causes of absence by relying on school attendance data. He worked in Excel and later was able to include Tableau to add visualizations. It turned into a powerful resume item during job applications.

Step 5: Build a Portfolio

Employers would like to know what you are capable of. Portfolio demonstrates your abilities in practice and helps to prove that you are ready to be hired.

What to Include:

The description of the project in brief consists of the following:

Tool and approaches employed

Visual aids such as charts or dashboard

Your convictions and conclusions

You are able to share a portfolio on your personal blog, LinkedIn, or GitHub. It is all a matter of clarity and confidence with which you can deliver your work.

Step 6: Practice Communication Skills

Becoming a data analyst is not merely all about numbers. You should communicate your results to those who may not be conversant with data in any way.

Key Skills to Develop:

Clearly formulated writing

Creating great slide decks

Giving a secure presentation during meetings

Antithesis: Some others suppose that powerful technical proficiency is a guarantee on its own. Nevertheless, analysts that are somehow incompetent in communicating their results will not have much impact.

Step 7: Apply for Entry-Level Roles or Internships

With a few solid projects and basic tools under your belt, you’re ready to start applying. Look for roles like:

Junior Data Analyst

Reporting Analyst

Business Intelligence Intern

Tailor your resume to highlight practical skills and include links to your portfolio.

Final Thoughts

Turning into a data analyst is not a race. You do not require being a mathematical genius or a coding master to start. Curiosity, an ability to learn and patience to develop skills gradually are also needed.

Summary Checklist:

Understand the role

master fundamentals (spreadsheet, statistics, SQL)

Select any one analysis tool

Carry out real world projects

Create a portfolio

Practice communication

Take entry level jobs

It may seem overwhelming at first, but many successful analysts started just where you are—curious, uncertain, but ready to learn.