Health Data Analysis Courses

Data Pipelines with Azure

2 ratings at Udacity

Build, orchestrate, and monitor data pipelines in Azure using Data Factory and Synapse Analytics. Learn data transformation, optimization, and production-ready pipeline management for analytical workloads.

• Udacity
• 18 hours
• Self-Paced
• Paid Course

Data Security

2 ratings at Udacity

Explore data governance, confidentiality, integrity, and availability. Learn to classify, protect, and secure data while navigating compliance regulations and implementing effective strategies.

• Udacity
• 14 hours
• Self-Paced
• Paid Course

Leveraging Data in Iterative Product Design

1 rating at Udacity

Master strategies like conversion funnels, segment analysis, A/B testing, and KPIs. This course emphasizes using quantitative and qualitative data to refine and optimize your product.

• Udacity
• 21 hours
• Self-Paced
• Paid Course

Data Architecture Foundations

1 rating at Udacity

In this course, you will cover the foundations of data architecture.

• Udacity
• 20 hours
• Self-Paced
• Paid Course

Advanced Data Analysis with Power BI

1 rating at Udacity

Master Power BI for advanced data retrieval, analysis, and visualization. Learn statistics, M language, DAX functions, and create impactful reports to draw meaningful conclusions from complex datasets.

• Udacity
• 20 hours
• Self-Paced
• Paid Course

Data Preparation and Modeling

1 rating at Udacity

Learn to prepare, clean, and model data effectively using Power Query and Power BI. Master relational data concepts, DAX language, and create efficient data models for analysis.

• Udacity
• 16 hours
• Self-Paced
• Paid Course

Data Storytelling

1 rating at Udacity

Learn to craft compelling data narratives, from problem definition to visualization, enhancing your ability to communicate insights effectively and drive data-informed decision-making.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

AWS Data Pipelines and Orchestration with Airflow

1 rating at Udacity

Schedule, monitor, and manage data workflows efficiently using tools like Apache Airflow. Build data pipelines by leveraging Airflow DAGs to organize tasks and utilize AWS resources such as S3 and Redshift to process and move data effectively between sys…

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

Applying AI to EHR Data

2 ratings at Udacity

Unlock EHR data potential with AI: Learn to build compliant, interpretable ML models addressing bias and uncertainty using cutting-edge tools. Gain skills in data security, code sets, and feature engineering.

• Udacity
• 14 hours
• Self-Paced
• Paid Course

Cloud Data Warehouses with Azure

2 ratings at Udacity

Enhance your data engineering skills with this Azure-focused course. Learn how to design and implement cloud data warehouses using Azure Synapse Analytics, ELT techniques, and the best data management practices.

• Udacity
• 14 hours
• Self-Paced
• Paid Course

Data Modeling Fluency

2 ratings at Udacity

Learn to design relational and non-relational data models, understand Big Data fundamentals, and explore NoSQL databases to handle diverse data needs and massive datasets efficiently.

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

Marketing Data and Technology

2 ratings at Udacity

Explore digital marketing analytics, focusing on Google Analytics to evaluate audience, measure success, and optimize strategies. Learn about AB testing, attribution models, and emerging trends.

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

Data Stewardship Fluency

1 rating at Udacity

This course will give you an introduction to data stewardship. You will be introduced to who data stewards are, the importance of data stewards, and the data management and governance responsibility of a data steward.

• Udacity
• 10 hours
• Self-Paced
• Paid Course

Building Generative AI Applications for Data Insights on Azure

1 rating at Udacity

Master Azure OpenAI services to build AI applications that extract valuable data insights using RAG, prompt engineering, and vector search techniques.

• Udacity
• 8 hours
• Self-Paced
• Paid Course

Software Engineering for Data Scientists

1 rating at Udacity

Master software engineering best practices for data science, including OOP, package creation, virtual environments, testing, and building interactive ML dashboards with FastHTML.

• Udacity
• 13 hours
• Self-Paced
• Paid Course