Data Management Courses

Pandas for Data Science

16 ratings at Coursera

Learn to use Pandas for data manipulation in Python. Master file operations, data cleaning, and dataset combination. Gain practical skills for efficient data handling and analysis in data science projects.

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

MySQL-for-Data-Engineering

13 ratings at Coursera

Gain hands-on experience with MySQL for data engineering, including database interaction, dataset manipulation, and Python integration.

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

Data Science for Agile Decision-Making

13 ratings at Coursera

Unlock data science techniques for agile business decisions. Learn to collect, analyze, and interpret data, driving insights and value. Ideal for leaders seeking to leverage data effectively.

• Coursera
• 2 hours 26 minutes
• Self-Paced
• Paid Course

Data Tidying and Importing with R

12 ratings at Coursera

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

• Coursera
• 13 hours 4 minutes
• Self-Paced
• Paid Course

Data Science Ethics with R

10 ratings at Coursera

Explore ethical responsibilities in data science, from identifying misleading visualizations to understanding data privacy and algorithmic bias using R programming.

• Coursera
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Data Visualization and Modeling in Python

Master data visualization and modeling techniques using matplotlib, KNN classification, and regression analysis to create impactful insights and professional-quality plots for real-world data science applications.

• Coursera
• 1 day 8 hours 14 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

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

Designing Larger Python Programs for Data Science

Learn to design complex Python programs for data science, covering top-down design, Monte Carlo simulations, and efficient code integration. Develop skills to handle large-scale projects and simulate real-world problems.

• Coursera
• 1 day 18 hours 12 minutes
• Self-Paced
• Paid Course

Credential

Data Science with R

Master data science fundamentals using R programming - from data visualization and transformation to ethical analysis. Learn essential tools like Tidyverse, RStudio, and Git while working with real-world datasets.

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

Credential

Data Analysis with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 5 courses

Credential

AI Product Management

1153 ratings at Coursera

Gain foundational knowledge in AI and machine learning for product management, focusing on project leadership, human-centered design, and ethical considerations in various industries.

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

Big Data, Genes, and Medicine

287 ratings at Coursera

Explore the intersection of big data and genomics, learning to analyze and interpret genetic information for healthcare applications using R programming and bioinformatics techniques.

• Coursera
• 1 day 16 hours 5 minutes
• Self-Paced
• Paid Course

Determining Ways of Working for Technical Project Management

17 ratings at edX

An essential aspect of managing projects successfully is to know when to use the right tools, techniques, and methodologies to achieve the goals of the project.

• edX
• 4 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Materials Data Sciences and Informatics

351 ratings at Coursera

Explore materials informatics at the intersection of materials science, computational science, and information science. Learn data-driven approaches to accelerate materials development and deployment.

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

Data Analytics for Business

15 ratings at edX

This course prepares students to understand business analytics and become leaders in these areas in business organizations.

• edX
• 16 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course (Audit)