Online Courses Catalog

Duke University

Learn data science foundations by exploring, transforming, and visualizing data with R, gaining skills in exploratory data analysis and statistical thinking.

University of California, Davis

Discover fundamentals of data visualization and use Tableau Public to import, analyze, and create effective data visualizations.

University of Illinois Urbana-Champaign

An introduction to 3D scientific data visualization focusing on science communication and cinematic design to engage broad audiences. Develop skills to interpret and create visualizations.

IBM

Learn Grammar of Graphics to create various charts with ggplot2 in R, customize designs, and build interactive maps and dashboards.

Duke University

Learn to use Python, spreadsheets, and BI tools to create engaging data visualizations and effectively tell data-driven stories.

Università di Napoli Federico II

Enhance your Tableau skills to manage and analyze data from various sources by building relationships and advanced dynamic data manipulations.

University of Pittsburgh

Learn to transform data into compelling visual stories using Python libraries such as Matplotlib and Seaborn with effective design practices.

University of Toronto

This course introduces theoretical and practical aspects of data visualization in genome biology using online tools and R programming for all skill levels.

University of London

Practical course on predicting daily bicycle rentals using historical data, considering environmental and temporal factors to build an effective predictive model.

IBM

Learn to create data visualizations and dashboards using Excel and IBM Cognos without coding, to effectively tell data-driven stories.

Birla Institute of Technology & Science, Pilani

This course introduces exploratory data analysis and visualization techniques using various libraries to enhance visual communication and storytelling.

Johns Hopkins University

Final course focusing on advanced data visualization skills using R and tidyverse to create figures, tables, and reproducible reports.

University of California, Irvine

This course covers the basics of data visualization within the data science workflow, emphasizing design principles for creating clear and effective results.

Microsoft

This course teaches creating impactful, interactive data visualizations using generative AI tools to simplify complex insights and support business objectives.

Simplilearn

This Excel course offers a comprehensive journey into mastering data management, analysis, and visualization. Start by learning foundational skills like Goal Seek, creating drop-down lists, and applying data validation.

Sciences Po

Since the early 2000s, data influx has transformed urban governance, influencing policies, actors, and the structure of city life.

University of Colorado Boulder

Learn fundamental statistical concepts to analyze datasets and apply data visualization techniques using tools like Pandas and Matplotlib for effective communication.

Google Cloud

Explore advanced principles of data transformation in the cloud and understand key tools and steps for data collection, processing, and storage.

Vanderbilt University

Applied introduction to bivariate and multiple regression using AI to enhance prediction accuracy and streamline analysis.

Vanderbilt University

Learn to create univariate graphs such as histograms and box plots using AI tools to automate and streamline data analysis and identify statistical patterns.

Johns Hopkins University

Learn methodologies to use data effectively for strengthening public health programs and policies, focusing on population-level data and applying a gender and equity lens.

Duke University

Learn to import, clean, and organize messy data using Tidyverse tools in R for efficient analysis, visualization, and modeling preparation.

Johns Hopkins University

Advanced course for learners with basic statistics covering the use of causal data to support decision-making in business, medical, and technology fields.

University of California San Diego

Understand how Java programs manage large data sets using advanced data structures to improve efficiency and flexibility.