Category Archives: Data Science

10 ways to improve your job search

This blog post has been updated and was originally authored by Metis Career Adviser Ashley Purdy.
 
Searching for a job has challenges and frustrations at the best of times. Take the global pandemic for example, which has undoubtedly an added an additional layer of challenges. Here are 10 actions you can take to get an ‘edge’ during your job search.
 

 
Create Google alerts
One easy and proactive step is to create Google alerts for companies you’re interested in working for. When setting up an alert, use Boolean strings to help you target a company or a specific skill. Examples might look like this: jobs (‘Company 1 OR Company 2’). You can also incorporate keywords, such as ‘data’, ‘Python’, or ‘SQL’. This ensures you’re able to quickly apply for jobs aligning with your interests. Being one of the […read more]

Categories : Professional Development, Data Science

Tips for maintaining a positive attitude during your job hunt

This blog post has been updated and was originally authored by Ashley Purdy, Metis Career Advisor in Chicago. 
 
Ashley has five years’ experience as an employment professional. She started her career as a technical recruiter and most recently worked at DeVry University as a Career Adviser, supporting the technical programs. Working in both a recruiting and advising capacity, Ashley has a strong understanding of the recruitment process and what employers seek in a quality candidate, especially in the technical industry. Ashley’s excited to be a founding member of the Chicago Metis team and enjoys helping students find their dream job in data science. 
 

 
Finding a job can be hard work, especially when you’re transitioning into a new field. If you do your research before jumping into a big task such as a career transition, you’ve […read more]

Categories : Professional Development, Data Science

Q&A with Beginner Python & Math for Data Science instructor, Gordon Dri

This blog post has been updated and was originally authored by Jerod Rubalcava, Metis.
 
Gordon Dri’s a Data Scientist at Oracle and the co-designer/co-instructor of the Metis live online Beginner Python & Math for Data Science. In this blog post, Gordon is interviewed by Jerod Rubalcava, Executive Director of Professional Development at Metis.
 

 
When I created the concept for the live online Beginner Python & Math for Data Science short course, I wanted the focus to be on true beginners. Data science is intimidating, and it can be hard to know where to begin your journey, so that’s exactly why this course was built.
Over the last few years, ‘data scientist’ has been recognised as one of the best and most popular jobs in the market. However, the gap from beginner to professional is large. We need to focus on […read more]

Categories : Professional Development, Data Science

Learning data science quickly and effectively

This blog post has been updated and was originally authored by Metis.
 
There’s no shortage of debate in the data science community about where to best learn data science. However, there’s little discussion of a topic arguably more important – how to learn data science.
Taking the right approach to learning matters. For all the differences between programs and platforms, the reality is you get out of any educational experience what you put into it. Approaching your data science learning journey with the right mindset and game plan can help you get the most out of your studies, ultimately making you a more effective data scientist in the long run.
 

 
So, how should you learn data science? Here are three crucial actions you need to take, no matter what platform, bootcamp, university or educational program you’re learning from.
 

Three keys for learning […read more]

Categories : Professional Development, Data Science

Three ways to improve your data science communication skills

This blog post has been updated and was originally authored by Lara Kattan, Metis Sr. Data Scientist.
 
 

 
Data scientists are often described as hybrids; part statistician, part computer scientist, part analyst, part strategist. While we focus on the myriad technical skills a data scientist should possess, we often overlook one of the foundational skills (without which the whole structure falls apart) – communication. Being able to build models is all well and good, but if you can’t succinctly express the assumptions, takeaways, and next steps to the rest of the company, then your model isn’t worth the bits it’s made up of.
A talented data scientist working in isolation doesn’t help anyone. Communication’s what turns potential insights into actions that benefit the business. This is why it’s essential for those in technical roles to develop their […read more]

Categories : Professional Development, Data Science

Seven keys to success in your data science job

This blog post has been updated and was originally authored by Metis Sr. Data Scientist Jonathan Balaban.
 
Over the past decade, I’ve helped more than 100 students, colleagues and friends start new careers and find fulfilling jobs. Seeing alignment in my friends’ professional lives is one of my favourite things. During this timeframe, I started several new roles myself in diverse cities and corporate cultures. I wish I knew these seven insights when starting my career. While not comprehensive, these are simple, yet powerful, ways that can help you make a great first impression and accelerate your professional development.
 

 

1.  Get noticed
While I don’t advise ‘coming into your new job like a wrecking ball’, you don’t want to slide in silently either. Remember, you’re not a spy infiltrating a foreign corporation. Your new firm’s investing […read more]

Categories : Professional Development, Data Science