Health Data Analysis Courses

Data Management and Database Design Part 2

Master advanced database optimization, security, and cloud technologies while building production-level skills in transaction management, data governance, and disaster recovery strategies.

• Coursera
• 17 hours 19 minutes
• Self-Paced
• Paid Course

Data Warehousing and Integration Part 1

Explore data warehousing fundamentals, dimensional modeling, ETL processes, and OLAP systems for building effective decision support systems and analytics platforms.

• Coursera
• 23 hours 6 minutes
• Self-Paced
• Paid Course

Data Warehousing and Integration Part 2

Explore advanced data engineering techniques including ETL design with BPMN and Talend, cloud-based data pipelines, ingestion patterns, transformation processes, and serving data for analytics and ML.

• Coursera
• 11 hours 28 minutes
• Self-Paced
• Paid Course

Foundations for Data Analytics Part 1

Discover Python fundamentals, data structures, and analytics techniques including clustering, time series analysis, and data wrangling for real-world applications.

• Coursera
• 16 hours 58 minutes
• Self-Paced
• Paid Course

Foundations for Data Analytics Part 2

Master time series analysis, text mining, network theory, and probability distributions through hands-on applications in data cleaning, clustering, and statistical modeling.

• Coursera
• 9 hours 43 minutes
• Self-Paced
• Paid Course

Machine Learning and Data Analytics Part 1

Dive into data mining fundamentals, exploring preprocessing, classification, clustering, and regression techniques through hands-on projects and real-world case studies.

• Coursera
• 15 hours 20 minutes
• Self-Paced
• Paid Course

Machine Learning and Data Analytics Part 2

Explore advanced data mining techniques including clustering, neural networks, SVMs, and text mining with real-world applications across engineering sectors.

• Coursera
• 18 hours 25 minutes
• Self-Paced
• Paid Course

Data Management for Analytics Part 1

Master database fundamentals, ER modeling, UML, relational design, and normalization to build robust data management systems supporting analytics and AI applications.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course

Data Management for Analytics Part 2

Explore SQL fundamentals, NoSQL databases (MongoDB, Neo4j), and big data technologies to build essential data management skills for analytics and machine learning applications.

• Coursera
• 9 hours 40 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Enterprise Data Wrangling with SQL and Python

Master enterprise data wrangling using SQL and Python—covering extraction, profiling, cleansing, integration, and automation to solve real-world business data challenges.

• Coursera
• 7 hours 57 minutes
• Self-Paced
• Paid Course

Data Wrangling for Business

Master data wrangling techniques for business, including extraction, cleansing, transformation, and automation using SQL, Python, and Alteryx to turn raw data into actionable insights.

• Coursera
• 15 hours
• Self-Paced
• Paid Course

Data Management in Healthcare

Explore data management in healthcare, covering EHR design, CPOE systems, privacy regulations, integration standards, and patient data access across provider and payer ecosystems.

• Coursera
• 9 hours
• Self-Paced
• Paid Course

Career Certificate

Data Analytics Engineering Graduate Certificate

Advance Your Career with Northeastern’s Top-Ranked College of Engineering Graduate Certificate in Data Analytics Engineering.

• Coursera
• Self-Paced
• Paid Course

إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel

24 ratings at Coursera

تعلم أساسيات إدارة البيانات في إكسل، بما في ذلك التحقق من صحة البيانات، حذف التكرارات، التعبئة السريعة، تقسيم النصوص، والفرز والتصفية لتحسين مهاراتك في تحليل البيانات.

• Coursera
• 1 hour 44 minutes
• Self-Paced
• Paid Course