Duke University Courses

Cloud Machine Learning Engineering and MLOps

88 ratings at Coursera

Develop machine learning applications using cloud computing, AutoML, and MLOps. Explore emerging topics like edge ML and AI APIs. Build a Flask web app for ML predictions.

• Coursera
• 13 hours 47 minutes
• On-Demand
• Paid Course

Microcredential

Strategy and Innovation for Agile Organizations

87 ratings at Coursera

Master strategic agility and innovation leadership skills to drive organizational success through customer-centric approaches, digital transformation, and competitive advantage in dynamic business environments.

• Coursera
• 4 weeks, 2 hours a week
• On-Demand
• Paid Course
• 3 courses

Drones for Environmental Science

81 ratings at Coursera

Explore drone applications in environmental science, from data collection to career opportunities. Learn about drone types, research practices, legal considerations, and real-world examples from industry professionals.

• Coursera
• 12 hours 32 minutes
• On-Demand
• Paid Course

Financial Statements

78 ratings at Coursera

Gain insights into analyzing income statements, balance sheets, and cash flow statements to understand company performance and make informed business decisions.

• Coursera
• 2 hours 31 minutes
• On-Demand
• Paid Course

Microcredential

Explainable AI (XAI)

81 ratings at Coursera

Develop transparent and trustworthy AI systems for high-risk domains. Master XAI concepts, interpretable machine learning, and advanced explainability techniques through hands-on programming and case studies.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

مقاييس الأعمال للشركات التي تعتمد على البيانات

77 ratings at Coursera

تعلم أفضل ممارسات تحليل البيانات لتعزيز القدرة التنافسية والربحية للشركات. التعرف على المقاييس الرئيسية وأدوار المحللين وعلماء البيانات، وتقييم ثقافة البيانات في المؤسسات.

• Coursera
• 8 hours 37 minutes
• On-Demand
• Paid Course

Data Engineering with Rust

65 ratings at Coursera

Leverage Rust for efficient, safe data processing. Master data structures, concurrency, libraries, and system design. Build robust data engineering solutions with hands-on projects.

• Coursera
• 2 days 15 hours 51 minutes
• On-Demand
• Paid Course

데이터 중심 기업을 위한 비즈니스 지표

데이터 분석을 통한 기업 경쟁력 향상 방법 학습. 주요 비즈니스 지표 식별, 데이터 관련 직무 이해, 빅데이터 문화 평가 체크리스트 활용 등 실용적 지식 습득.

• Coursera
• 7 hours 37 minutes
• On-Demand
• Paid Course

Python Programming Fundamentals

67 ratings at Coursera

Learn Python fundamentals, from algorithmic thinking to code testing. Develop problem-solving skills, master Python syntax, and apply your knowledge to analyze real-world data like heart rate information.

• Coursera
• 1 day 1 hour 11 minutes
• On-Demand
• Paid Course

R을 사용한 확률 및 데이터 소개

R을 활용한 데이터 표본 추출, 탐색적 분석, 기본 확률 이론을 학습하며 실습과 프로젝트를 통해 통계 소프트웨어 활용 능력을 기릅니다.

• Coursera
• 13 hours 35 minutes
• On-Demand
• Paid Course

Business Impact

61 ratings at Coursera

Enhance financial acumen to make strategic decisions driving business growth, operational efficiency, and shareholder value through practical exercises and assessments.

• Coursera
• 2 hours 13 minutes
• On-Demand
• Paid Course

Introduction to Flask framework

Learn to build a basic Flask web app, handle requests, return responses, and debug locally in this hands-on project using Python best practices.

• Coursera
• 2 hours 21 minutes
• On-Demand
• Paid Course

Purpose-Driven Leadership for Strategy and Innovation

64 ratings at Coursera

Discover how organizational purpose drives strategic thinking, innovation, and sustainable growth. Learn to define and align purpose with long-term goals for effective leadership in complex environments.

• Coursera
• 2 hours 32 minutes
• On-Demand
• Paid Course

MLOps Tools: MLflow and Hugging Face

64 ratings at Coursera

Explore MLflow and Hugging Face for MLOps, covering model tracking, deployment, fine-tuning, and cloud integration. Gain practical skills in managing ML workflows and creating interactive demos.

• Coursera
• 1 day 1 hour 53 minutes
• On-Demand
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

64 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• On-Demand
• Paid Course