Advice from an IBM Data Scientist Start

Advice from an IBM Data Scientist Start with Python and You’ll Go Far

Advice from an IBM Data Scientist: Start with Python and You’ll Go Far

Across industries, data scientists are bringing buzzwords to life: AI, machine learning, big data, and data visualization. Behind the buzzwords are software skills like Python, R, SQL, and Java. The list goes on and may sound intimidating, but getting started is more approachable than ever and therefore the value of foundational, entry-level data science skills is beginning.


“Even some years ago, if you wanted to perform any quite data science task, you had to spend tons of your time understanding the concepts, learning the programming languages, but now all you actually need to know is Python and have a basic understanding of what’s happening and it’s pretty remarkable where you'll go.” Read on for more excerpts from our interview with Santarcangelo, where he shares insights from working in and teaching data science, alongside advice for those considering a knowledge science career path or adding data science skills to a different discipline.


What does it take to Get Started in Data Science?


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Most of what I do is stuff I learned within the beginning. I’ll spend an extended time learning a framework. tons of it’s just going into Python, understanding the language, understanding what does what — and people are the primary few things I learned. The first step is that the largest. You’re getting to make the most important jump. You’ll get 70% of the way there in your first few steps. A year of studying data science will get you very far.


Why Is It Important to Start With Python? What Advice Do you Have for Students Starting From Scratch?


I think tons of the things you hear hype about… it’s useful, but not everyone needs it. People shouldn’t be that specialize in deep learning and machine learning to start out . they ought to be focused on just learning Python, getting the info , and perhaps building an easy model that they will use for prediction. That’s where the important gains are.


What Types of People and Jobs Benefit From Python and Data Science Skills?


I see either people eager to become data scientists and tons of developers, but I also see others who want to use data science to their existing field. all types of clustering and applying data science techniques to optimize a given profession. So for the Python course, for the more basic programming courses, I see that broader audience — people you wouldn’t expect taking these courses, disciplines you wouldn’t expect to be related to data science. Marketing, for instance. Or some people that have a basic understanding of finance and they’ll want to urge into it and they’ll see that everything in finance is completed in Python. So they’ll start learning Python. and that they pick it up pretty fast, which is that the incredible part. For the more advanced courses, just like the deep learning courses, I see more advanced students.

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