Data Science & Analytics Career Paths & Certifications: First Steps

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  • Course details

    The career opportunities in data science, big data, and data analytics are growing dramatically. If you're interested in changing career paths, determining the right course of study, or deciding if certification is worth your time, this course is for you.

    Jungwoo Ryoo is a professor of information science and technology at Penn State. Here he reviews the history of data science and its subfields, explores the marketplaces for these fields, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics, and visualization. This leads to a discussion of the five biggest career opportunities, the six leading industry-recognized certifications available, and the most exciting emerging technologies. Along the way, Jungwoo discusses the importance of ethics and professional development, and provides pointers to online resources for learning more.


    • Click here to view Jungwoo Ryoo’s instructor page

      Jungwoo Ryoo

      Professor of Information Sciences and Technology at Penn State University

      Jungwoo Ryoo teaches IT, cyber security, and risk analysis at Penn State.

      Jungwoo is a professor of information sciences and technology (IST) at the Pennsylvania State University (Altoona College). He is also a graduate and affiliated faculty member of the College of Information Sciences and Technology at Penn State, and a tenured faculty member of the B.S. degree program in security and risk analysis at Penn State Altoona.

    Skills covered in this course

  • Welcome

    - We have so much information out there on data science and analytics career paths, however, there is very little in terms of how you can get started with your first step. Hi, I'm Jungwoo Ryoo, and as a college professor, I've seen many students struggling and being overwhelmed when they're beginning to pursue their career. I feel that data science and analytics is giving you a similar challenge, especially when you are new to the field. I'll start by going over the history of data science and major concepts behind it. Since there is a huge demand in the data science marketplace, we'll cover the skills you will need that your perspective employers are looking for. Then I'll address how you can add value to your team by executing your role extremely well and demonstrate your proficiency through certifications. Your future will be a promising one as long as you keep up with your profession and enjoy the challenges that await you. Let's take our first step.

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