Data Analytics Engineering Graduate Certificate
Students in the Data Analytics Engineering Graduate Certificate develop core skills in statistical analysis, data visualization, and data mining. They learn to use tools like Python and R to analyze complex data and communicate insights. Offered by the College of Engineering, this program prepares students to apply data-driven solutions across industries such as healthcare and manufacturing.
立即开始学习
本研究生证书可作为数据分析工程硕士学位的学分。
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无需冗长的申请。5 分钟快速填表。无需等待录取决定
8+ months
16 个学分
$5,250 USD tuition
329美元/学分。学费随用随付，具有完全的灵活性和可控性。
100% 在线
您可以随时随地观看授课视频、实践项目，并与教师和同行建立联系。
Master Practical Data Analytics Techniques for Real-World Impact
Engineering-focused, application-driven curriculum
Designed for learners with a background in engineering, computer science, or related fields, this program emphasizes technical rigor and hands-on learning to equip you with the skills needed to tackle real-world datasets and analytics challenges in complex, data-driven industries.
Core Technical Skills for Data-Driven Decision-Making
Build expertise in statistical methods, data cleaning, and analysis; master tools like Python, R, and data visualization platforms; understand data management and mining techniques; and apply these skills to solve real-world problems across industries.
Expert faculty and hands-on learning
Learn from experienced faculty in Northeastern’s College of Engineering and gain practical skills through real-world case studies, projects, and interactive tools that mirror industry expectations.
计划描述
总览
Data is revolutionizing how industries address challenges, optimize processes, and make informed decisions. Northeastern University’s Data Analytics Engineering Graduate Certificate provides professionals with the essential technical skills and practical knowledge to transform data into actionable insights. Tailored for learners with backgrounds in engineering, computer science, or related fields, this program integrates statistical analysis, data visualization, and data mining techniques with real-world applications across engineering, healthcare, manufacturing, and more.
所需背景
A bachelor’s degree in any field is required for admission, and official undergraduate transcripts must be submitted within 30 days of enrollment. While prior exposure to Python Programming Proficiency, Fundamentals of Probability Theory, and Linear Algebra will give you a strong head start, it’s not mandatory.
To help you prepare, Northeastern’s College of Engineering faculty have curated a targeted set of Coursera courses designed to build or refresh these skills—boosting your readiness and maximizing your success in the program.
- Crash Course on Python (Google)
- Linear Algebra for Machine Learning and Data Science (Deeplearning.AI)
- Probability & Statistics for Machine Learning and Data Science
您将获得的技能
- Statistical analysis
- Data visualization
- Predictive modeling
4 courses, each worth 4 credits, for a total of 16 credits
第 1 门课程（共 4 门）
Foundations for Data Analytics Engineering
总览
Prepares students for advanced data analytics engineering through probability, eigenvalues/eigenvectors, clustering, text mining, and time series analysis. Students learn modern data structures and computational methods for data cleaning and wrangling.
第 2 门课程（共 4 门）
Computation and Visualization for Analytics
总览
Teaches visualization tools and techniques for data exploration, knowledge discovery, and decision making across engineering, healthcare, and manufacturing. Covers Python and R for data mining and visualization, including static and interactive charts that reveal patterns through color encoding, shape selection, layout, and annotation.
第 3 门课程（共 4 门）
Data Management for Analytics
总览
Covers database management theory and applications for data analytics, machine learning, and AI. Topics include database design, data storage, warehousing, governance, relational and NoSQL databases, data integration, quality, and big data processing.
第 4 门课程（共 4 门）
Data Mining in Engineering
总览
Covers data mining theory and applications in engineering. Topics include data preprocessing, association rules, classification, prediction, clustering, and complex data exploration. Discusses applications across manufacturing, healthcare, business, and service sectors.
Earn credit towards a Masters degree from Northeastern University, offered 100% online.
Successfully completing the Data Analytics Engineering Graduate Certificate allows you to apply credits toward the MS in Data Analytics Engineering degree at Northeastern University. To be eligible, you must earn a grade of B or higher in each certificate course and meet the transfer policies of the chosen master’s program.
This certificate offers credit-recognized learning that lets you begin with a targeted, career-focused credential and smoothly advance to a higher degree—saving both time and tuition while boosting your professional development.
Certificate
Data Analytics Engineering Graduate Certificate
Data Analytics Engineering Graduate Certificate Certificate Earn Credit Towards:
Meet your instructors
常见问题
Coursera does not grant academic credit; the decision to grant, accept, or recognize academic credit, and the process for awarding such credit, is at the sole discretion of the academic institutions offering the University Certificate program and/or other institutions that have determined that completion of the program may be worthy of academic credit. Completion of a University Certificate program does not guarantee admission into the full Master’s program referenced herein, or any other degree program.