데이터 과학 진로 찾기

업계 전문가가 개발한 이 시험을 통해 귀하의 기술과 관심에 부합하는 데이터 과학 강좌를 선택할 수 있습니다.
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데이터 과학 진로

데이터 과학은 수요가 높은 여러 진로와 관련이 있는 분야이므로 인기 있는 학습 주제입니다. 데이터 과학 분야의 경력을 쌓는 데 관심이 있다면 가능한 진로를 알아 두면 도움이 됩니다. 다음 네 가지 주요 옵션을 읽어 보고 자세한 내용을 알아보세요.

Machine Learning Engineer

Machine learning engineers build, implement, and maintain machine learning systems in technology products. They focus on machine learning system reliability, performance, and scalability. This career path requires you to have expert-level programming skills and deep knowledge of machine learning algorithms.

  • Basic Python programmingYou should be able to use Python to read in data and perform basic manipulations.
  • Programming
  • Machine Learning
  • Big Data
  • Cloud Computing
  • System Design
  • Build a recommendation model to optimize customer activity and deploy it at scale in the product.
  • Iterate on existing machine learning models by engineering new features and testing alternative learning algorithms.
Average Salary
$131,000
Projected Growth
+ 17%
Job Openings (2018)
9,360

Machine Learning Engineers at Intel, SAP, and IBM took these courses

Neural Networks and Deep Learning
deeplearning.ai
Neural Networks and Deep Learning
COURSE
Machine Learning
Stanford University
Machine Learning
COURSE

Data Engineer

Data engineers design, build, and maintain data architectures for large-scale applications. They manage the entire data lifecycle: ingestion, processing, surfacing, and storage. This career path requires strong software engineering skills

  • Basic Python programmingYou should be able to use Python to read in data and perform basic manipulations.
  • Big Data
  • Apache Hadoop
  • Web frameworks
  • NoSQL
  • Spark
  • Build an internal platform to automate the training of machine learning models.
  • Design the data warehouse of a company to ensure high performance and easy access to internal data.
Average Salary
$115,000
Projected Growth
+ 39%
Job Openings (2018)
12,230

Data Engineers at Facebook, Walmart, and Oracle took these courses

Functional Programming Principles in Scala
École Polytechnique Fédérale de Lausanne
Functional Programming Principles in Scala
COURSE
Hadoop Platform and Application Framework
University of California San Diego
Hadoop Platform and Application Framework
COURSE

Data Scientist

Data Scientists perform sophisticated empirical analysis to understand and make predictions about complex systems. They draw on methods and tooling from probability and statistics, mathematics, and computer science and primarily focus on extracting insights from data. They communicate results through statistical models, visualizations, and data products.

  • Basic R or Python programmingWork proficiently with R/Python to read in data and perform basic manipulations.
  • Data Tools
  • Regression Models
  • Machine Learning
  • Data Visualization
  • Probability & Statistics
  • Design an AB test to measure the performance of a new product relative to existing options.
  • Utilize causal inference techniques to disentangle the effects of various interventions on key metrics like company revenue.
Average Salary
$120,000
Projected Growth
+ 39%
Job Openings (2018)
17,762

Data Scientists at Microsoft, Mu Sigma, and Deloitte took these courses

Machine Learning
Stanford University
Machine Learning
COURSE
R Programming
Johns Hopkins University
R Programming
COURSE

Data Analyst

Data Analysts use tools such as Excel, Tableau, SQL, R or Python to use data to answer specific questions. Analysts must have a deep understanding of their organization’s data. This career path requires you to be able to visualize data in ways that help guide major business decisions.

  • Excel proficiencyYou should be able to work with data using Excel formulas, charting, and pivot tables.
  • Data Tools
  • Excel
  • Machine Learning
  • Experimental Design
  • Probability & Statistics
  • Write SQL queries to extract and clean data in order to provide key customer insights.
  • Generate dashboards for key company metrics to track historical performance, correlating movements in metrics with past interventions.
Average Salary
$71,000
Projected Growth
+ 16%
Job Openings (2018)
124,325

Data Analysts at Amazon, Accenture, and Capital One took these courses

Programming for Everybody (Getting Started with Python)
University of Michigan
Programming for Everybody (Getting Started with Python)
COURSE
Introduction to Data Science in Python
University of Michigan
Introduction to Data Science in Python
COURSE

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업계 전문가의 도움을 받아 여러분의 기술 및 관심사에 적합한 진로 찾기에 도움이 되는 7문항의 퀴즈를 개발했습니다.

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