

Our Courses
Mathematics for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises.
-
Course by
-
Self Paced
-
English
Virtual Building Design for Engineers Using Autodesk Revit
This course is a beginners guide to Autodesk Revit software. Students will learn the fundamentals of Autodesk Revit’s functionality and how Design Professionals and Project Teams use Autodesk Revit-centric and BIM-centric workflows for design and construction optimization, coordination, visualization, and automation.
-
Course by
-
Self Paced
-
10
-
English
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.
-
Course by
-
Self Paced
-
English
Introduction to Digital Humanities
Develop skills in digital research and visualization techniques across subjects and fields within the humanities.
-
Course by
-
Self Paced
-
35
-
English
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
-
Course by
-
Self Paced
-
12
-
English
Advanced Bioconductor
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
-
Course by
-
Self Paced
-
44
-
English
Excel for Everyone: Data Analysis Fundamentals
Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.
-
Course by
-
Self Paced
-
English
MATLAB and Octave for Beginners
Learn MATLAB and Octave and start experimenting with matrix manipulations, data visualizations, functions and mathematical computations.
-
Course by
-
Self Paced
-
44
-
English
Data Analytics and Visualization Capstone Project
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.
-
Course by
-
Self Paced
-
15
-
English
Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
-
Course by
-
28
-
English
Data Visualization and Building Dashboards with Excel and Cognos
Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.
-
Course by
-
28
-
English
R Data Science Capstone Project
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
-
Course by
-
21
-
English
MATLAB Essentials
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
-
Course by
-
6
-
English
Storytelling and Persuading using Data and Digital Technologies
Learn how to gain traction for your digital transformation initiatives with stories based on data that use compelling data visualizations to build a persuasive business case.
-
Course by
-
Self Paced
-
10
-
English
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.
-
Course by
-
English
Stakeholder Outreach: Effective Communication of Complex Environmental Threats
Learn how to engage communities through powerful storytelling, data visualization, and persuasive presence to motivate action on complex environmental projects.
-
Course by
-
Self Paced
-
10
-
English
Strategic Communication for Sustainability Leaders
Communicating science effectively is a critical skill for anyone involved in environmental policy or sustainability. Learn how to integrate effective visualizations into compelling narratives to clearly explain complex ecosystem processes.
-
Course by
-
Self Paced
-
32
-
English
Data Representation and Visualization in Tableau
Use Tableau to explore data and discover insights to innovate data-driven decision-making.
-
Course by
-
Self Paced
-
English
Data Analytics and Visualization in Health Care
Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care.
-
Course by
-
English
Sustainable Consumption and Health
This course is an introductory and foundational course on sustainable consumption and health. In the first part of this course, we briefly review definitions of sustainability and the relationship between the three dimensions of sustainability and the UN-Environment Sustainable Environment Goals (SDGs), target and indicators. We then look at frameworks, indicators and footprint requirements to adequately measure sustainability, offering the opportunity to the participants to assess their own carbon and environmental footprint and make recommendation on how to reduce it.
-
Course by
-
Self Paced
-
14 hours
-
English
Information Visualization: Applied Perception
This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
-
Course by
-
Self Paced
-
12 hours
-
English
Interactive Geospatial Visualization:Kepler GL & Jupyter Lab
In this 1-hour long project-based course, you will learn how to easily create beautiful data visualization with Kepler inside Jupyter Notebooks and effectively design different geospatial data visualizations.
-
Course by
-
Self Paced
-
4 hours
-
English
From Data to Insights with Google Cloud
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets.
-
Course by
-
Self Paced
-
English
Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling.
-
Course by
-
Self Paced
-
English
Creative Designing in Power BI
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn how to creatively design dashboards, reports and charts that are easier for the audience to use. You will learn how to create cohesive business intelligence reports and dashboards, as well as what common problems to avoid.
-
Course by
-
20 hours
-
English