Data Management Courses

Ethical Issues in Data Science

49 ratings at Coursera

Explore ethical challenges in data science, including privacy, security, bias, and medical applications. Gain insights to navigate ethical considerations in your data science career.

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

Microcredential

The Data Driven Manager

45 ratings at Coursera

Learn to understand, describe, and analyze data for informed decision-making. Develop skills in data visualization, probability, risk assessment, and problem-solving to drive business and engineering outcomes.

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

Microcredential

Statistics and Applied Data Analysis

46 ratings at Coursera

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

Fundamentals of Data Visualization

41 ratings at Coursera

Explore data visualization design, development, and evaluation. Learn to create effective visualizations, use exploratory tools, and craft data narratives through hands-on experience with user-centered design and web-based techniques.

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

Data Science as a Field

39 ratings at Coursera

Explore data science's evolution, applications, and methodologies. Learn about the data analysis process, pitfalls, and effective communication of results in various professional settings.

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

Microcredential

Data Wrangling with Python

38 ratings at Coursera

Master essential data wrangling skills with Python, covering tools, collection, understanding, preprocessing, and visualization. Gain practical experience through exercises and a final project to tackle real-world data challenges.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Statistics and Data Analysis with Excel, Part 1

39 ratings at Coursera

Learn foundational statistics concepts and apply them using Excel. Covers descriptive statistics, probability, and probability distributions. Ideal for beginners in data science and analytics.

• Coursera
• 16 hours 31 minutes
• Self-Paced
• Paid Course

Managing, Describing, and Analyzing Data

34 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course

Microcredential

Crisis Management and Crisis Communication

32 ratings at Coursera

Master essential strategies for identifying, preventing, and navigating organizational crises while developing key consulting skills to guide leadership through critical situations and foster institutional recovery.

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

Cybersecurity for Data Science

30 ratings at Coursera

Learn essential cybersecurity concepts, tools, and techniques for data science, including risk mitigation, authentication, access control, and ethical considerations to ensure data security and privacy.

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

Software Architecture Patterns for Big Data

31 ratings at Coursera

Transform big data prototypes into production-ready systems. Learn to measure performance, identify bottlenecks, and implement scalable solutions. Design load tests and optimize data stores for high-performance distributed systems.

• Coursera
• 1 day 1 hour 44 minutes
• Self-Paced
• Paid Course

Data Mining Project

31 ratings at Coursera

Gain hands-on experience designing and implementing a real-world data mining project, from problem formulation to evaluation and future work.

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

Data Driven Decision Making

31 ratings at Coursera

Learn statistical analysis techniques for data-driven decision making, including one and two sample tests, correlation, and ANOVA. Gain practical skills using RStudio and ROIStat for various data types and scenarios.

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

Microcredential

Data Analysis with Python

29 ratings at Coursera

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• Self-Paced
• Paid Course
• 3 courses