People Analytics Courses

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

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

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

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

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

Data Analysis and Reporting in SAS Visual Analytics

363 ratings at Coursera

In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

Credential

Python Data Products for Predictive Analytics

299 ratings at Coursera

Master Python for predictive analytics: Create data strategies, develop statistical models, and deploy machine learning models to make accurate predictions for business and research purposes.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Meta

Data Analytics Methods for Marketing

293 ratings at Coursera

Explore analytics methods for marketing: audience segmentation, forecasting, advertising effectiveness, and marketing mix optimization. Learn to use data-driven techniques for strategic decision-making.

• Coursera
• 12 hours 5 minutes
• Self-Paced
• Paid Course