Data Science and Analytics Career Paths and Certifications
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1 Hours | 132 MB
Genre: eLearning | Language: English | Skill Level: Appropriate for all
The career opportunities in data science, big data, and analytics are growing dramatically. These are among the most sought-after jobs in the tech world today. 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 analytics, explores which markets are using big data the most, 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 four 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.
A history of data science
Why analytics is important
How data science is used in social media, climate research, and more
Data science skills
Data science certifications
The future of big data
Skill Level Appropriate for all
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