Data Science Infinity

💡A must watch if you’re looking to move into Data Science & Analytics in 2025

Last year, I used Amazon SageMaker a few times while working on GenAI governance pilots. Why? Since 𝗜𝗕𝗠'𝘀 𝘄𝗮𝘁𝘀𝗼𝗻𝘅.𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 platform can monitor and evaluate ML & LLM models built anywhere, on our pilots, we developed models using SageMaker (and many others!) to show how they could be governed effectively. But here’s the thing: speed is key during pilots, and honestly, my SageMaker skills weren’t quite there yet. So, I decided to level up by taking Andrew Jones's AWS for Data Science & Data Analytics course. It didn’t just improve my SageMaker game—I also learned a ton about AWS staples like S3, Lambda, EC2 and boto3. I really loved the hands-on approach as well as Andrew’s fun teaching style. Also, the code templates are going to be a lifesaver in future projects! If you’re a Data Scientist or AI Engineer looking to get more comfortable with AWS, I highly recommend you add it to your 2025 learning bucket list! 📚

The best time to get started in Data Science & Analytics is right now. Don't wait until you "know" Python Don’t wait for a better laptop Don’t wait until you understand every ML algorithm Don't wait until you're "ready" for the role Don't wait and see what will happen with AI Don’t wait for perfectionism Don’t wait until you have the time Just start.

I never studied math. As a Data Scientist, this can make you feel inferior. But over time I realized that the Data Scientists who added the most value (and the ones that got the promotions) were seldom the math savants sitting in the corner. I've managed to build a career at FAANG companies, and where I've got many Machine Learning patents with my name on them. For me, here is the reality about the math you need to know: Firstly, yes, you do need to know some math, there is no getting around that as it underpins a lot of what we do in the field. But don't be scared off by it. You DO NOT need to spend a year reading dusty textbooks before you're allowed to progress, build things, or land your first role. Don't let anyone tell you otherwise. Start with statistical concepts such as distributions, hypothesis tests, the central limit theorem, confidence intervals, and probability. They are the foundations. From there, start introducing more advanced mathematical concepts such as Linear Algebra, but don't learn it in isolation because that makes it 10x harder to grasp. Learn these concepts as you start applying things like machine learning algorithms because it's so much more enjoyable to learn while you're testing and modifying things and seeing what changes, and why. You've got this! #datascience #analytics #data #datascienceinfinity

Your chance to fly gloriously into a Data Science role in 2025 - don’t miss out! 🔥

Your time is valuable, your results are everything

Our biggest year by far - until next year 🎉

Not once have I felt GenAI will replace me - but I’m constantly utilising it to accelerate the creation and application of classic Machine Learning & Deep Learning approaches, driving huge value for clients. Data Science isn’t going anywhere - if you want to join this field in 2025 then I’ve got a session that runs through how my students are killing it in the job market: https://lnkd.in/ehY2RT_q I’m always here to help - DM me any time!

If you want to become a Data Scientist or Data Analyst in 2025, do it. Start today. ❓ Don't know what to focus on learning? Let me show you what 200+ hiring managers from around the globe said they need & want - not what the latest influencer is saying. ❓Unsure how to build a portfolio that stands out from everyone else? Let's take a look at what works and what doesn't (and I'll give you 10 project ideas to get you up and running) ❓Feeling anxious about the hiring process? Let's talk about Resumes & interview techniques to get you ahead based on my experience interviewing & screening thousands of candidates at top tech companies. If you want to achieve this - start with a plan based on evidence, and then start executing it. Over 20,000 have watched my free career session, and are now moving quickly toward success. Check it out here: https://lnkd.in/ehY2RT_q

Think you couldn’t land a Data Science role in 2025? You’re right. Think you could? You’re right. It takes belief, a positive mindset, persistence, and hard work. It doesn’t matter if you’re a teacher, an engineer, an accountant, a hairdresser, or any other profession, you can do it. I know because it’s my full time job coaching people into the field. If 2025 is the year you want to make that change - it just starts with the belief that it’s possible.