Health Data Analysis Courses

Creating a Data Transformation Pipeline with Cloud Dataprep

Build a data transformation pipeline in the Cloud Dataprep UI: visually explore, clean, and prepare structured and unstructured data for analysis in the Google Cloud console.

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

Data Catalog: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Data Governance with Dataplex Universal Catalog

Learn data governance frameworks and how to choose one, then profile data, manage data quality, and trace automated data lineage for BigQuery sources in Dataplex Universal Catalog.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Packt

Data Analytics in Excel Using Real-World Examples

Learn to clean, sort, and summarize data in Excel with pivot tables, SUMIF, and What-If tools like Scenario Manager, Goal Seek, and the Analysis ToolPak.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Data Analytics and Visualization with Tableau and more

Automate data prep in Alteryx, load and chart data in Qlik Sense, program in R, and build interactive Tableau dashboards and spatial charts.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course

Coursera

Dashboard Customization with Jenkins: Track Health Metrics

Build a custom Jenkins dashboard view tracking build success/failure rates, duration and test results, pull health data via Jenkins APIs, set alerts, and manage job permissions.

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

Edureka

Data Analysis and Dashboard Design with Tableau

Build advanced Tableau analytics: create calculated fields and conditional logic, apply LOD expressions and time-series calculations, and design scalable dashboards extended with Python and TabPy.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

Cost-Volume-Profit (CVP) Analysis Mastery

Calculate break-even points, margin of safety and target income, and apply contribution margin and marginal analysis to special order and product selection decisions.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Pragmatic AI Labs

Data Ethics

AI ethics judged by externalities, not shareholders: trace natural rights from the French Revolution to digital rights, expose tech propaganda patterns, and critique surveillance capitalism.

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

Data Management and Privacy Practices for Professionals

Manage sensitive data under U.S. privacy rules: build a data inventory, classify information, plan incident response, and apply FTC, HIPAA, RFPA, and BSA requirements.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Data Modeling Scheme

Build business terms, logical, and physical data models across relational, dimensional, document, and graph approaches, applying normalization, denormalization, indexing, views, and partitioning.

• Coursera
• 13 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Cost Behavior, CVP & Leverage Analysis

Classify costs as fixed or variable, compute contribution margins, break-even points and margin of safety, and apply operating, financial and combined leverage.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Cryptocurrency Trading & Technical Analysis

Analyze crypto markets with candlestick charts, Fibonacci retracements, moving averages and oscillators, while evaluating coin projects, securing wallets, and building trading and risk-management strategies.

• Coursera
• 10 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

Dash Cryptocurrency Trading & Analysis

Trade Dash with confidence: set up wallets, navigate exchanges, and read charts using moving averages, MACD, Bollinger Bands, and Fibonacci retracement.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Edureka

Data Engineering Workflow Orchestration with Airflow

Build production-ready data pipelines with Apache Airflow: design DAGs, use operators, sensors and the TaskFlow API, and add retries, monitoring, and CI/CD deployment.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course