So, you’re a math whiz! Math is a great hard skill with valuable career applications, even though those career applications might not always be obvious. 📊 That’s why we’ve come up with a “What math careers are right for me?” quiz to help you figure out what math careers are out there. From accounting to research to software engineering, check out which career is right for you 👇 👇 https://lnkd.in/gKuajaMS
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Data Engineering | Tech Lead @ Gable.ai | O’Reilly Author: Data Contracts | LinkedIn [in]structor | Founder @ On the Mark Data
I paid $17K (via a private loan) to do a data science bootcamp... and I didn't even finish the program. I have such mixed feelings about this. On one end, quitting my job and paying so much for a bootcamp was a leap of faith that forced me into a position to get my first data science role. On the other end, I'm still paying off the loan for a program that a) costs more than a masters degree, and b) didn't live up to the promises it made. The challenges: - Paid a premium to get access to their job network, and yet there were minimal jobs available in their portal, and few of the actually employers responded. - When I was able to land an interview, they refused to support me in interview prep (what they offered) because the job wasn't from within their portal. - Their key relationship manager between the program and employers quit the week the program started. I ultimately saw the writing on the wall, and instead of going through the exercises and lectures, I instead just devoted all my time to job applications and cold messages to employers. Out of the cohort, I was one of the few students who landed a job before the program ended. And while I had these challenges, they all fall on me not doing enough due diligence on the program I paid for. If I were to evaluate a program again, I would do the following: 1. Find people who completed the program, and interview multiple people from different cohorts. 2. Find their statistics on graduation rates and job placements. For example "School Performance Fact Sheets are required by the California Bureau for Private Postsecondary Education. These Fact Sheets provide specific information for each of the degree programs offered to campus-based students at their respective locations." 3. Weigh your options by creating multiple scenarios, timelines, and funding requirements. If I did this, I think I would have chosen differently. Do you have experience with a bootcamp? What was it like for you? #data #datascience
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Date: 01/14/2024 1:47pm Hi, and welcome to my profile! I am located in Winooski, VT and would consider occasional office work. But I would mainly prefer mobile office work. I have a highly commutable vehicle and I love the trip, as it helps me unwind and be at my best performance; albeit, the road can get a little hairy at times, but I'll choose to brave it, over performing badly at work! I have extensive knowledge and criteria in the skills required for this position. I do not know everything, but presume I will be working on a team and doing some team work and perhaps video conference calls. So whatever skills I'm lacking, I could make up for, with a reasonable amount of time.. I have a very fast laptop and it is locked down very well. I'm not sure if you'd provide one, but I have one at my expense. Where I have acquired the skills necessary for such a responsibility as the <employer/> <employee position/> position {(the research and logistic probate data manager)}, is that(obviously, my two alumni statuses at Fisher College and CCV);, I have some projects that I've been working on. I also had a mother, who taught me cooking, a father(well 2 fathers and one tutored me in math, since my parents were divorced) with strong work ethics. I have worked in collaborative think tanks, was very close to my brother who made the Dean's list and pioneered in areas of software development and OS development; who has been deceased since 2015. My brother and I would ponder over the future of Technology and at the same time, we strived hard to further our existing skill set in computer science. Some of my projects are rooted in software development and studying object oriented programming; and some are goal oriented study of math and communicative and social concepts. I took 'Business Technology' in Trade school. I then went on to take Intermediate College Algebra and advanced graph theory. Unfortunately, I got an incomplete in pre-Calculus, but at the same time, I had learned most of the course and had a B average when I had to withdraw from the course; but I had since continued on to Calculus. Then I took A&P(Human anatomy and physiology), and I learned Microsoft Access and databases, which would form the basis for a lot of my scientific research which some of, has yet to be published or put to good use. I have a good vocabulary, I pick up concepts quickly and I appreciate my downtime as I recognize this, as crucial to successfully making milestones with ones goals in life. I could submit some references and College transcripts apon request depending on what you are looking for. :) Thanks for taking the time to read this, Warmly, Micah J. Jackson (802)310-0597
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Marketer, Maverick CMO for VCSEs, Coach, Mentor and Mental Health expert. Sharing my love of business systems, digital transformation and how we interact with technology to promote business growth.
It's GCSE results day. Not something that I'd normally be posting about, as I don't have kids. I can't be the only one who has mixed feelings about what those few letters meant for my life. Mine were... B - Physics C - Chemistry, Maths, Music D - German, History, English Lang, English Lit. They were not the grades predicted, I recall; I was supposed to do better. I wanted to do three sciences at A-Level (I did the Biology course work - but not the exam, so I could), but then I hated school. I went to college and attempted A-levels. Physics, Chemistry, Economics, General Studies and Art - but failed miserably. To this day, I have no idea what possessed me with Economics!! I then wanted to be a graphic designer, but that didn't go down well, so I did an OND in Computer Studies. Having never really touched a computer or having no apparent aptitude for that kind of thing. The current boyfriend of the time was into that stuff, so what the heck, right? I then did a HND in Information Technology (which was all coding, electronics and the good shit that I still love). I hated Unix with a passion. Whilst I am good with pseudocode, I am not a coder. My brain doesn't work like that; I know that now. I failed Unix in my final year. So I ended up on Jobseekers, trying to find work. It was hard because back then, no one really wanted you to do part-time and resit one unit at Uni. Ultimately, after a lot of faffing about, I ended up at JBA; because I'd worked at Exel Logistics and I knew warehousing. I worked my way up to being a principal analyst. The rest, they say, is history... But this journey isn't over. This wasn't what I'd planned, but now I'm sitting here typing this; none of it was. I still don't know what I want to be when I grow up! Who knows what 18 month old me was thinking here? The journey hasn't always been easy, but I am still going! Exam results aren't the end; they're just the start...
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Happy Hoildays! Here's to completing another year 🥳🥳 This year I've accomplished so many things. •Finishing my undergraduate degree with a second-class upper. •Completing my summer placement as an economic researcher. •And now futhering my education by completing several online courses on Excel, Stata and economic forecasting. Looking forward to the following year! Next year I'll be learning more, prioritising my professional development. •I hope be a sucessful data analyst and an expert at using multiple programming languages like R, SQL and more. •Gain more experience in financial data analysis. •Learn more about sustainability and sustainable business practices and polices going forward.
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AI Enthusiast, AI Game Changer 💻 , AI Influencer🎉 Personal Branding| Brand Promotions| Making A.I Chatbot
📝 **Cracking Data Structures and Algorithms (DSA) 📚** Hey LinkedIn fam! 👋 Excited to share a project I've been working on—my comprehensive **DSA Notes**! 🚀 Whether you’re a beginner or brushing up on your skills, these notes cover everything from basic concepts to advanced techniques in Data Structures and Algorithms. ### Why DSA? 1. **Problem-Solving Skills**: Mastering DSA enhances your ability to solve complex problems efficiently. 🧠💡 2. **Interview Prep**: A strong grasp of DSA is essential for acing technical interviews at top tech companies. 🎯🏢 3. **Core Understanding**: It lays the foundation for understanding more advanced topics in computer science. 🔍🌐 ### What’s Included? - **Key Concepts**: Detailed explanations of fundamental data structures like arrays, linked lists, stacks, queues, and trees. 🌳📊 - **Algorithms**: In-depth analysis of sorting, searching, dynamic programming, and graph algorithms. 🕸️📈 - **Practice Problems**: A curated list of problems with solutions to test your understanding and improve your coding skills. 💻💪 - **Visual Aids**: Diagrams and flowcharts to help you visualize complex concepts. 🖼️✨ ### Let’s Connect! I’m eager to hear your thoughts and feedback. If you’re interested in accessing these notes, drop a comment below or DM me. Let’s embark on this learning journey together! 🚀🤝 #DSA #DataStructures #Algorithms #Coding #TechCommunity #InterviewPrep #LearningJourney #TechTips #CodingCommunity ---
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Many years ago, when I was in school, I can remember my primary school headmaster, tell him my mother and me that I was thick and stupid. He told my mother that I would be lucky to get into passage tech. This is where the students in the area who failed entrance exams to other secondary schools in the area would be sent to secondary education. When I was in 6th year, my history teacher told me to my face, that I was thick and stupid, and I should look for a life of being unemployed. Wouldn't it last six years I've had senior managers told me that I was stupid, an idiot, to stay in my lane, be grateful for what I have, do not go from where I am. In other words, SETTLE. Do not get me wrong, I have had some brilliant managers, teachers and mentors where had the highly supportive to me as well. I have pushed myself, by doing a postgraduate certificate in data and analytics in SETU, Waterford. Two years ago, I was looking around to see what was available, especially in the online space to push myself to a postgraduate diploma. I started my journey and did many emails, spoke with very intelligent and highly supportive people. I had to weigh up was good for me, my future career, my future education, and as the world doesn't revolve wholly around education, what was the best for my family, putting bread on the table and keeping a roof over our heads. I embarked on an online course in statistics in Trinity College Dublin. With a lot of hard work and support from my wife and my management team and work, on the 1st of February this year I collected my postgraduate certificate in statistics. When I was offered the opportunity to convert my certificate into it diploma, I immediately contacted my credit union to make sure that my credit was good enough so that I could have enough funds to take out a loan to cover the costs. I am thinking of this, when I am trying to understand a lecture online, with a big smile on my face while I'm studying at home. Thank you for reading this. Keith #TCD #Revenue #cso #setu #rprogramming #statistics #dataanalytic #pythonprogramming #python
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Which university degree is the best for data science? 🤔 Okay, I'll admit it, this is a trick question. I don't think there is one, though there could possibly be the best one for *you*. Just like every person is different, almost every data science role has different focus areas and thankfully, not every data scientist needs to have the same skills. Especially not at the start of their career. 🧮Personally, I studied mathematics and computer science. But even though that covers both programming and theoretical parts, there were a lot of skills I still needed (and still need) to acquire after my degrees. Here’s 3 examples: 1. ☁️ Everything Cloud Datasets in university assignments are typically small, if existent at all, so machine learning was only done on our personal computers. Though these platforms typically offer some usage credits for free to students. 2. 📊 Corporate PowerPoint design Is this already a "soft skill"? Not sure. But at university, presentations were graded largely on their correctness and on how much information was covered. Telling a story and being succinct but convincing with your proposal and data was definitely not the focus 🙈 3. ⚙️ MLOps and connecting to services and processes Since computer science focuses largely on the... you guessed it: scientific areas of coding, deployment was not a discussed topic. I would always recommend getting an internship or student job in a related field for this type of experience. Now I made it seem like I learned nothing at university... Maybe tomorrow I will share the top 3 skills I could actually apply in my job 😉
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Data-Driven Economist and Lecturer | Bridging Research and Headlines in Economics | Empowering Data Literacy
Tech boom? Don't rush to computer science: Why 'Finance + data' might be the smarter move. In the tech-fuelled frenzy, aspiring students flock to computer science. While coding skills are crucial, this equation might reshape your perspective: Finance + Data Skills > Data Skills Why? Today's labour market demands domain expertise and algorithmic literacy [1]. Finance degrees now blend enhanced data skills, like coding and machine learning, with traditional finance knowledge. 📈 Finance + Data Skills Sure, pure computer science is great, but it lacks the industry know-how that sets finance apart. ⚠️ But a cautionary note: not all finance degrees are created equal. TIP: Search for degrees offering coding boot-camps, big data modules, and professors who speak both finance and Python. 💬 Do you agree "Finance + Data" is the way to go? Share your thoughts! [1] Prasanna Tambe, 2023, Algorithmic Bilinguals https://lnkd.in/eQRUwGZ9
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Software engineer || Data Scientist || Python || Javascript || Typescript || React native developer ll React / Redux Developer ll Nextjs || Java ll node || Web3.0
Exciting news! I'm now wearing two hats - Software Engineer & Graduate Student of Statistics! Balancing coding and crunching numbers, I'm on a mission to bridge the gap between theory and practice in the world of data-driven solutions. Follow my journey as I explore the intersection of software engineering and statistics. #SoftwareEngineering #Statistics #DataScience #GraduateStudent #CareerJourney
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Strong math skills could help land your students one of these high-demand careers? "Statisticians and data scientists rank among the fastest-growing jobs, harnessing math to solve intricate problems and extract valuable insights. Actuaries predict uncertainties’ economic impacts, statisticians collaborate on complex challenges, and data scientists uncover meaningful data trends. With growth projections of 21 percent, 31 percent, and 36 percent respectively, these careers offer median annual salaries ranging from $95,000 to $106,000."
These 3 Fast-Growing Careers Require Strong Math Skills. Students Should Know About Them
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Business and Nuclear Enthusiast 🌏Follow me for news around Science and Mining
1moIf I complete any type of virtual work experience. Should I list it under the education or experience section on LinkedIn?