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Data Science & Analytics Career Paths & Certifications: First Steps

Data Science & Analytics Career Paths & Certifications: First Steps

1400/month
Start anytime
Self paced
English
Course by
LinkedIn LearningCourses from LinkedIn Learning
Certificate awarded
Intermediate
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Limited Time Discount Offers

Save your money with Edvicer. Check out our premium courses with discount offers.

Map your Career

Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.

Career Mapper - Edvicer

Map your Career

Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.

Checklist

Certification

You will get a certificate on completing this course.

University

This course is not affiliated with any university.

Price

This course costs very less.

Edvicer's Rewards

You can get a reward of 150 coins on buying this course. These coins can be redeemed for 1 coin= 1Re.

Discount offer

LinkedIn Learning is providing discount offers with this course - 1 month free trial.Visit www.edvicer.com/offers to find out.

Why should you choose this course?

Description

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.

Syllabus

ContentsIntroduction1. Define Data Science2. Marketplace3. Skills4. Roles5. Certifications6. Future of Data ScienceConclusion

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