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Our Courses
Data Visualization in Excel: Build an Interactive Dashboard
In this 2-hour long project, you will create an interactive dashboard within Excel.
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Course by
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Self Paced
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3 hours
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English
Data Visualization for Genome Biology
The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization.
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Course by
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Self Paced
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15 hours
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English
MATLAB and Octave for Beginners
Learn MATLAB and Octave and start experimenting with matrix manipulations, data visualizations, functions and mathematical computations.
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Course by
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Self Paced
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44
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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.
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Course by
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28
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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.
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Course by
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28
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English
MATLAB Essentials
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
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Course by
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6
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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.
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Course by
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Self Paced
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10
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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.
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Course by
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Self Paced
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10
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English
Overview of Data Visualization
In this project, you will develop an understanding and appreciation for data visualization. You will review the benefits of data visualization as you examine existing examples of data that is displayed in a variety of visual formats. In addition, you will gain some hands-on experience in building your own data visualization examples by aggregating data and generating simple charts in Google Sheets. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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3 hours
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English
D3Js Basics
In this 1.5-hour long project-based course I will show you the basic concepts to create data visualizations in D3.
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Course by
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Self Paced
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2 hours
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English
Go Beyond the Numbers: Translate Data into Insights
This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn how to find the story within data and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations.
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Course by
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Self Paced
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33 hours
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English
Real-time data visualization dashboard using Node-red
At the end of this project you are going learn how to create an real-time data visualization dashboard using node-red. so in this project we are going to use openAQ API which is an open source API sharing real-time air quality data related to different cities around the globe. we are going to fetch this data, preprocess it and visualize it using node-red. Therefor, as a very important prerequisite you should have a basic knowledge of node-red. if you don’t have any experience using node-red I recommend to attend my guided project course on introduction to node-red on Coursera.
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Course by
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Self Paced
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2 hours
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English
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
The Library of Integrative Network-based Cellular Signatures (LINCS) was an NIH Common Fund program that lasted for 10 years from 2012-2021. The idea behind the LINCS program was to perturb different types of human cells with many different types of perturbations such as drugs and other small molecules, genetic manipulations such as single gene knockdown, knockout, or overexpression, manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more.
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Course by
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Self Paced
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9 hours
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English
Business Intelligence con la Product Suite di Tableau
Questo corso è rivolto a tutti coloro che hanno maturato una conoscenza solida di Tableau. Dopo aver imparato a analizzare dati e costruire visualizzazioni è arrivato il momento di approfondire la conoscenza della Business Intelligence (BI) e andare oltre Tableau. La week 1 è dedicata alle Dashboard e alle Story.
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Course by
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Self Paced
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25 hours
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Italian
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Course by
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Self Paced
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12
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English
Communicating Business Analytics Results
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge.
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Course by
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Self Paced
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7 hours
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English
Information Visualization: Advanced Techniques
This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
Learning Goals
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Course by
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Self Paced
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16 hours
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English
Data Visualization using Bokeh
Welcome to this 1 hour long guided project on data visualization using Bokeh. In this project you will learn the basics of Bokeh and create different plots and impressive data visualizations in detail. You will also learn Glyphs and how to Map Geo data using Bokeh. Please note that you will need prior programming experience ( beginner level) in Python. You will also need familiarity with Pandas. This is a practical, hands on guided project for learners who already have theoretical understanding of Pandas and Python.
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Course by
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Self Paced
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3 hours
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English
Python for Data Visualization:Matplotlib & Seaborn(Enhanced)
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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3 hours
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English
Simple Parallel Coordinates Plot using d3 js
Throughout this guided project we are going to create a simple Parallel Coordinates Plot (PCP) using d3 js. PCP is one of the most common data visualization techniques used to visualize high-dimensional datasets. In this guided project you will create a simple PCP step by step. We will also cover some important topics in data visualization such as Linear and Ordinal scaling to best visualize our data. Having the knowledge of javascript programming language and the basics of d3 js are the two most important prerequisites to get the most out of this guided project.
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Course by
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Self Paced
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3 hours
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English
High-dimensional Data visualization techniques using python
By the end of this project you will learn how to analyze high-dimensional data using different visualization techniques.
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Course by
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Self Paced
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2 hours
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English
Google Sheets - Advanced Topics
This course builds on some of the concepts covered in the earlier Google Sheets course. In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options. You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet. Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization.
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Course by
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Self Paced
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3 hours
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English
Data Visualization with R
In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data.
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Course by
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Self Paced
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12 hours
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English
Data Visualization with Python
In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling.
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Course by
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Self Paced
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3 hours
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English
Overview of Data Visualization in Microsoft Excel
After finishing this project, you will have learned some basic rules about data visualization and can apply them whenever you create charts.
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Course by
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Self Paced
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1 hour
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English