Data Management Courses

Board Infinity

Quality Improvement and Management

375 ratings at Coursera

Comprehensive exploration of quality improvement principles, tools, and strategies to enhance organizational processes, product quality, and customer satisfaction.

• Coursera
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Microcredential

Business Management Essentials

375 ratings at Coursera

Master essential business skills including marketing strategy, financial analysis, process management, and leadership for enhanced operational efficiency and business value.

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

Data Scientist Career Guide and Interview Preparation

374 ratings at Coursera

Comprehensive guide for aspiring data scientists, covering job search strategies, resume building, interview preparation, and career development in the field of data science.

• Coursera
• 9 hours 14 minutes
• Self-Paced
• Paid Course

Data Visualization with Python & R for Engineers

Learn to create impactful data visualizations using Python and R for engineering applications. Explore data mining techniques, static charts, and storytelling methods for effective decision-making in various fields.

• Coursera
• 17 hours 36 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-Driven Systems: DBMS, SQL & Data Modeling

Explore database theory, SQL, and data modeling. Learn to manage large datasets, understand relational and NoSQL databases, and develop efficient database structures for real-world applications.

• Coursera
• 10 hours 54 minutes
• Self-Paced
• Paid Course

Strategic Healthcare Workforce Management

Develop strategic workforce management skills for healthcare, focusing on measurement, strategic alignment, and accountability systems to drive business outcomes and optimize talent management.

• Coursera
• 9 hours 26 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

Data Structures & Algos: Software Development Skills

Master fundamental algorithms and data structures through hands-on exploration of computational problem-solving, complexity analysis, stable matching, sorting techniques, and algorithm optimization for real-world applications.

• Coursera
• 18 hours 48 minutes
• Self-Paced
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 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

Machine Learning with Small Data Part 1

Discover modern deep learning techniques for training effective models with limited datasets, addressing challenges in healthcare, military, and industry applications.

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

Engineering Project Management Part 1

Explore project management fundamentals covering planning, budgeting, risk management, and team leadership through systems development lifecycle framework with practical tools.

• Coursera
• 11 hours 51 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