People Analytics Courses

Healthcare Analytics Essentials

40 ratings at Coursera

Explore data-driven decision making in healthcare, focusing on patient and provider perspectives to improve care quality. Learn to apply analytical tools for comprehensive understanding of healthcare delivery complexities.

• Coursera
• 12 hours 51 minutes
• Self-Paced
• Paid Course

Analytics in Healthcare Management and Administration

40 ratings at Coursera

Explore healthcare analytics for improved organizational performance, patient-centered care, evidence-based decision-making, and systems thinking in complex healthcare environments.

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

Projeto final de Data Analytics do Google: conclua um estudo de caso

424 ratings at Coursera

Aprenda a criar um estudo de caso de análise de dados, desenvolva seu portfólio e prepare-se para entrevistas de emprego com dicas práticas de analistas do Google.

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

Intro to Improving the Patient Experience Through Analytics

Explore analytics to enhance patient experiences in healthcare. Learn about data usage, humanizing care, and predicting outcomes to improve healthcare processes and decision-making.

• Coursera
• 19 hours 33 minutes
• Self-Paced
• Paid Course

Designing Engaging Dashboards for Healthcare Analytics

Explore data visualization techniques for healthcare analytics, focusing on dashboard design, storytelling, and effective communication to support informed decision-making.

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

Engaging in Improving Patient Experience Through Analytics

Explore data-driven strategies to enhance patient experience in healthcare, covering prediction methods, recommendation systems, operational considerations, and building a business case for decision support.

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

Database to AI: Practical Data Analytics Integration

Gain insights into database management fundamentals, data modeling, and emerging technologies. Explore relational and NoSQL databases, SQL, big data, and their applications in data analytics and AI.

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

Data Analytics Engineering: Probability & Techniques

Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.

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

Data Warehousing Essentials for Analytics and AI Support

Explore data warehousing essentials for analytics and AI support, covering architecture, dimensional modeling, and database concepts to transform raw data into actionable insights.

• Coursera
• 16 hours 36 minutes
• Self-Paced
• Paid Course

Computation and Visualization for Analytics Part 2

Master advanced data visualization techniques using Python libraries like Matplotlib, Seaborn, and Plotly to create static and interactive plots for data exploration and storytelling.

• Coursera
• 2 days 2 hours 43 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

Computation and Visualization for Analytics Part 1

Master Python and R visualization tools to transform raw data into compelling visual stories for engineering, healthcare, and manufacturing applications.

• Coursera
• 1 day 12 hours 39 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