Tech Talk with Toni

  The best state a book can be in, opened. This week has been one where I have been asked this question twice.  It seems like everyone is seeking guidance on how to land their first job in the field. I understand the need for supplemental knowledge outside of a degree.  When I did a couple data related courses in school, I thought that was all it took to move forward in my data career.  I was wrong, and today I want you to learn from my wrongs so that you can get way ahead. I believe that everyone has a preferred method of learning new things so, I would be finding resources in different formats.  Also, note that at the end of every single blog post I have done has a "Resources" section at the bottom. Here are some resources that I would recommend to anyone that is interested in a pursuing a data career: Books Reading is my preferred method of learning and I would always recommend the following:  Storytelling with Data  - is a practical book by Cole Nussbaumer Knaflic, a form

  Two blobs talking to each other Hey there, tech enthusiasts!  Fun fact: I aced every subject in the Caribbean Advanced Proficiency Exam (CAPE) except one:  Communication Studies    ( even though I did it twice!) Now, before you jump to conclusions, let me explain how this happened: On my second attempt Question 1 could be interpreted in two different ways due to its confusing wording.  It even left the invigilator scratching their head in confusion. After that nerve-wracking experience, I swore I'd never have to worry about "Communication Studies" ever again.  However, little did I know that communication can be the ultimate secret weapon to make your tech job easier. Whether it's crafting emails or delivering project updates, an effective communicator will have the upper hand. You might think that having a degree in Computer Science is all it takes to succeed in your career. But let me tell you, I've found myself in situations where explaining my work to non-te

  A simple pie chart that looks like Pac-Man Many people frequently approach me with questions like, 'Toni, how did you get a job in Data Analytics?' or 'Do you have any advice for someone trying to break into the field?'  As someone who was in their shoes just a year ago, I understand the confusion and frustration that comes with trying to find your way in.  While I don't consider myself a data guru, I've gained a reputation as an expert in the field. However, I want to make it clear that I don't have some grand story about how I solved a complex data problem. In fact, I still classify myself as a beginner, constantly learning and using my blog as a way to reflect on the problems I encounter.  Despite this, I firmly believe that anyone can get a job in this field with the right mindset, network, portfolio, and a bit of luck. So, to help those trying to get into the data field, here are six essential points to keep in mind: Excel is now your best friend This

  Three people applied for the same job, but only one was chosen Recruiters are like speedy shoppers, Hunting for the best candidates they can uncover, On a budget, they must never squander. The concept of Human Resources has evolved significantly over time, with its roots dating back to a time when individuals managed their own work lives.  If someone needed a job, they would simply approach a business owner and ask if there were any openings available.  However, as businesses grew, managers started to realize the need for more structured approaches to managing employees.  This led to the hiring of clerks to handle tasks such as tracking hours worked and calculating pay. Fast forward to 2023, where technology has made significant strides and disruptive AI models such as ChatGPT are available to the public.  The question arises - how will this affect HR? The founder of Lattice, Jack Altman, spoke in an interview about the role of AI in increasing the productivity of HR.  Lattice offers