Data Management Courses

Fundamental Tools of Data Wrangling

20 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 42 minutes
• Self-Paced
• Paid Course

Introduction to Crisis Management and Crisis Communication

20 ratings at Coursera

Master essential crisis management skills to effectively handle organizational emergencies, from initial response through strategic planning and communication, preparing you for real-world crisis scenarios.

• Coursera
• 7 hours 41 minutes
• Self-Paced
• Paid Course

Applications of Software Architecture for Big Data

19 ratings at Coursera

Develop production-ready distributed systems for big data, applying software engineering principles to create loosely coupled, highly cohesive applications with scalable features.

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

Defining, Describing, and Visualizing Data

15 ratings at Coursera

Learn to analyze and visualize data effectively, using tools like RStudio and ROIStat to make informed decisions and solve problems in engineering and technical fields.

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

Data Collection and Integration

15 ratings at Coursera

Comprehensive techniques for gathering and integrating data from diverse sources, emphasizing practical experience with tools like Pandas, Beautiful Soup, and SQL to handle real-life datasets.

• Coursera
• 1 day 4 hours 8 minutes
• Self-Paced
• Paid Course

Data Analysis with Tidyverse

13 ratings at Coursera

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

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

Product Innovation Management

10 ratings at Coursera

Explore marketing, pricing, financial metrics, and sustainability in product development. Learn to create business cases, pitch to executives, and design for a circular economy.

• Coursera
• 15 hours 44 minutes
• Self-Paced
• Paid Course

Microcredential

Data Visualization & Analytics in Tableau

10 ratings at Coursera

Master data visualization with Tableau, learning to create effective visualizations, dashboards, and stories that transform complex data into clear insights, enhancing your analytics skills and marketability.

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

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• Self-Paced
• Paid Course
• 17 courses

Microcredential

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course

Microcredential

Engineering Management Graduate Certificate

As a student in the Engineering Management Graduate Certificate program, you’ll master essential management principles and prepare for leadership roles within technology-driven industries.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course

Microcredential

Foundations of Data Structures and Algorithms

Comprehensive exploration of data structures and algorithms, focusing on efficient data organization and operations for data science applications. Covers arrays, hash-tables, trees, graphs, sorting, searching, and more.

• Coursera
• Self-Paced
• Paid Course
• 5 courses

Statistics and Data Analysis with Excel, Part 2

Explore advanced statistical techniques using Excel, including hypothesis testing, regression analysis, and ANOVA. Build on foundational concepts to enhance data analysis skills.

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

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

BiteSize Python for Absolute Beginners: Data Structures

Master Python's core data structures through hands-on exploration of lists, tuples, sets, and dictionaries, culminating in practical case studies for efficient data manipulation and problem-solving.

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