Data Management Courses

Credential

Data Science Foundations: Statistical Inference

360 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

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

Credential

Expressway to Data Science: Python Programming

314 ratings at Coursera

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

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

Probability Foundations for Data Science and AI

288 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

265 ratings at Coursera

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

• Coursera
• 8 hours 1 minute
• Self-Paced
• Paid Course

Credential

Data Mining Foundations and Practice

182 ratings at Coursera

Discover patterns in large-scale datasets through key data mining concepts and techniques. Learn data preprocessing, modeling, frequent pattern analysis, classification, clustering, and gain hands-on project experience.

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

Credential

Vital Skills for Data Science

131 ratings at Coursera

Explore key areas in data science, including ethics, cybersecurity, and visualization. Gain practical skills and insights to determine your interests and future specialization in this diverse field.

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

International Marketing and Management

125 ratings at Coursera

Develop cross-cultural competence for effective international business management, focusing on cultural dimensions, HR strategies, and marketing approaches tailored to diverse global markets.

• Coursera
• 9 hours 27 minutes
• Self-Paced
• Paid Course

Data Mining Pipeline

117 ratings at Coursera

Explore key steps in data mining: understanding, preprocessing, warehousing, modeling, interpretation, and real-world applications. Gain practical skills for effective data analysis and decision-making.

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

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Credential

Software Architecture for Big Data

107 ratings at Coursera

Learn principles and patterns for architecting large-scale distributed systems that handle big data. Gain industry insights on building performant software for data-intensive applications.

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

Statistical Estimation for Data Science and AI

94 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Fundamentals of Software Architecture for Big Data

92 ratings at Coursera

Aprende a construir y escalar sistemas distribuidos intensivos en datos, aplicando prácticas de ingeniería de software y microservicios. Ideal para profesionales y graduados recientes en ciencia de datos o informática.

• Coursera
• 20 hours 29 minutes
• Self-Paced
• Paid Course

Python Packages for Data Science

79 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

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

Data Mining Methods

72 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 25 minutes
• Self-Paced
• Paid Course

Systems Engineering and Program Management

62 ratings at Coursera

Learn to apply Systems Engineering to complex program management, including risk assessment, scope definition, and change control, while developing essential leadership skills for engineering and technical roles.

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