2023 AI Career Guide: How to Land a Data Science Job
- Views: 118
Price: 49.99$
Business demand for data scientists is exploding. The increase in the availability of data and recent obsession with AI has left companies scrambling to build out their data science capabilities. The data analytics industry is predicted to grow at a compound annual growth rate of 30.41% between 2022 and 2030. All fueled by the 175 zettabytes of data available by 2025. This demand must mean that landing a data science is easy, right?Wrong. Landing a data science job is hard. Because the supply of candidates is also huge. And growing. There’s a reason it’s the most desired job role for Gen Z, and why most of the top courses on Udemy are data-science-related. Now more than ever, everyone wants to be a data scientist. This means that it’s hard to stand out. Having data science skills and knowledge is only one half of the equation. You need to know how to leverage these to maximize your potential. Because finding a job is difficult. For most corporate jobs, less than 10% of applications result in interviews. Job seekers spend at least 2 months and 10 hours a week looking for a job. These numbers are more extreme for data science roles. Some data science managers claim to be seeing a 5-fold increase in the number of applications. Job postings are receiving 250+ hopeful candidates. This is probably why you find yourself making hundreds of applications, or being stuck in early rounds of the hiring pipeline, or feeling lost and frustrated with the whole thing. I can help. In this course, I use my experience with both hiring and applying to teach you how to stand out in the job market, crush the application process, and create a system to land your dream job. It’s a comprehensive guide to everything required to receive multiple data science offers, including: Straight-to-the-point lectures Step-by-step demos Tips and tricks Extra resource material All learnt by spending 100 hours+ on the application process. What makes this course different?This is a new course. Others will have more students and reviews and ratings. So why choose this one?I’ve spent a huge amount of time thinking about data science job applications, both from an employee and employer perspective. During this time I consumed any and all resources I could get my hands on – courses, books, videos, etc. But there were some things that I couldn’t find, that I had to learn (the hard way). And there were elements of other resources that frustrated me. This course fixes these problems: It’s brand new. Creating the course in 2023 allows us to incorporate the latest AI/data science trends and job market information. Unique techniques. I have developed a number of approaches to various stages of the data science job application pipeline – like Linked In DMs – that gave me a distinct advantage in applying. I’ll share these with you. Application-focused. It’s simple: 90% of applicants are filtered out at the first stage of the process. Focusing on overcoming this barrier is the most effective use of your time. Therefore, that’s what this course is centred on. Specific & practical. No generic advice. Everything is tailored to data science and individual components of the job pipeline. We give you exact methods and how to use them. Systematic approach. Stop applying to jobs at random. I teach you how to select and collate target companies, and how to create a system that allows you to manage applications.
You Might Like
car import list australia
One important thing is that when you’re searching for a student loan you may find that you’ll want a cosigner. There are many scenarios where this is correct because you could find that you do not have a past credit score so the loan provider will require that you’ve got someone cosign the credit for you. Good post.