Data Management Courses

Quality and Safety in Ambulatory Healthcare Management

34 ratings at Coursera

Master essential quality and safety management practices for ambulatory healthcare settings, from regulatory compliance to performance improvement methodologies and risk management strategies.

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

Wrangling Data in the Tidyverse

33 ratings at Coursera

Master data transformation techniques in R to efficiently reshape, manipulate, and analyze datasets using tidyverse packages, enhancing your ability to handle complex data structures and conduct exploratory analyses.

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

Calculus through Data & Modelling: Integration Applications

25 ratings at Coursera

Explore calculus applications through data and modeling, focusing on integration techniques for real-world problem-solving in areas like physics, economics, and geometry.

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

Visualizing Data in the Tidyverse

20 ratings at Coursera

Explore data visualization techniques using ggplot2 in R. Learn to create effective plots, customize aesthetics, and use extensions for advanced visualizations to enhance data analysis and communication.

• Coursera
• 16 hours 40 minutes
• Self-Paced
• Paid Course

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Credential

Big Data Processing Using Hadoop

9 ratings at Coursera

Master the Hadoop ecosystem for big data processing, from HDFS and MapReduce to advanced tools like Hive, Pig, and Spark. Develop practical skills for designing, deploying, and optimizing large-scale data solutions.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Data Visualization

7 ratings at Coursera

Master advanced data visualization techniques from foundational concepts to specialized approaches, including design principles, network visualization, and interactive data exploration for impactful decision-making.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 8 courses

Credential

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Advanced Techniques in Data Visualization

Master advanced data visualization techniques to transform complex data into compelling visual stories using color theory, interactivity, network graphs, geospatial mapping, and text visualization methods.

• Coursera
• 1 day 4 hours 27 minutes
• Self-Paced
• Paid Course

Foundations of Data Visualization

Master fundamental data visualization principles and techniques to transform raw data into compelling visual insights, focusing on perception, design, and effective storytelling methods.

• Coursera
• 23 hours 35 minutes
• Self-Paced
• Paid Course

Credential

Principles of Management

Master essential management skills—leading teams, influencing without authority, strategic execution, and ethical decision-making—with practical tools like SWOT, SMART goals, and structured project management.

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

Data Analysis Using Hadoop Tools

Master Hadoop ecosystem tools like Hive, Pig, HBase, and Spark for advanced big data processing and analysis. Gain hands-on experience with SQL querying, data transformation, NoSQL databases, and in-memory computation.

• Coursera
• 23 hours 39 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Information Theory & Games

Explore decision-making in dynamic environments through game theory, cooperative games, and opponent prediction. Learn to optimize strategies in complex social interactions and extract relevant features for informed choices.

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

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course