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Our Courses
Consulting Presentations and Storytelling
This is the #5 course in the specialization on management consulting. In the previous 4 courses, we’ve learned how consultants break down problems with tools and logical thinking. Now, it’s time to bring all the parts together into consulting-quality presentations and deliverables.
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Course by
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Self Paced
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7 hours
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English
Data Visualization in Microsoft PowerPoint
At the end of this project you will be able to create a simple PowerPoint presentation from scratch using different basic elements. First, you will learn how to create your PowerPoint presentation using text. Then, you will get to know options to improve your presentation by adding images and other visuals. Additionally, you will learn a few easy methods to make your slide transitions smoother and more appealing to your audience. Creating a Microsoft PowerPoint will allow you to be able to have the best visual support possible during your presentation.
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Course by
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Self Paced
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2 hours
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English
Business Intelligence and Visual Analytics
Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.
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Course by
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Self Paced
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12 hours
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English
AI Workflow: Data Analysis and Hypothesis Testing
This is the second course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). Best practices for data visualization, handling missing data, and hypothesis testing will be introduced to you as part of your work. You will learn techniques of estimation
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Course by
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Self Paced
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11 hours
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English
Research Report: Delivering Insights
You have completed all the hard work of conducting your internal, secondary, and primary research. You have analyzed all the data and are able to formulate insights and recommendations based on your research proposal. But what is the best way to present your findings and be able to make a decision? In this course, you will discuss how to incorporate a story in your marketing presentation to help you capture the attention and gain support of stakeholders and business leaders.
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Course by
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Self Paced
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15 hours
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English
Google Advanced Data Analytics Capstone
You’re almost there! This is the seventh and final course of the Google Advanced Data Analytics Certificate. In this course, you have the opportunity to complete an optional capstone project that includes key concepts from each of the six preceding courses.
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Course by
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Self Paced
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10 hours
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English
Forecast bikeshare demand using time series models in R
In this project, you’ll help a bike rental company enhance its fleet management and pricing strategy by building a daily bike rental forecasting model using time series analysis techniques in R. Your objectives include loading, cleaning, processing, and analyzing daily rental transaction data, and developing and evaluating time series models for the most accurate predictions. The company will use your validated forecasting model to determine the optimal number of bikes to keep in each station and set dynamic pricing based on predicted demand.
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Course by
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Self Paced
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3 hours
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English
Publishing Visualizations in R with Shiny and flexdashboard
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.
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Course by
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Self Paced
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12 hours
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English
Geospatial Big Data Visualization with Kepler GL
In this 1-hour long project-based course, you will learn how to easily create beautiful data visualization with Kepler and effectively design different geospatial data visualizations.
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Course by
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Self Paced
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3 hours
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English
Introduction to R Programming and Tidyverse
This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t familiar with R • you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood.
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Course by
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Self Paced
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23 hours
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English
Javascript animation for websites, storytelling, data visualization and games
In this course, we'll guide you through a series of hands-on projects.
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Course by
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Self Paced
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2 hours
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English
Create Interactive Graphs in Tableau
Tableau is widely recognized as one of the premier data visualization software programs.
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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 using Microsoft Excel
Have you ever been asked to create a report based on a lot of data and you did not know where to begin? Or, you simply needed to demonstrate data from different sources all in one place with minimum effort? By the end of this project, you will learn how to operate data to generate a report and demonstrate information in a comprehensive visual way in Microsoft Excel. In this project, you will create a free account on Microsoft 365, you will get access to Microsoft Excel and use data to generate a report with informative charts that you can present to your audience.
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Course by
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Self Paced
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1 hour
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English
Introduction to D3.js
This Guided Project, Introduction to D3.js is for those who want to learn about D3.js which is a JavaScript library for producing SVG-based, dynamic, interactive data visualizations in web browsers. In this 2-hour-long project-based course, you will get to know different SVG elements, build SVG-based webpages using D3.js, Integrate data into the SVG elements, and build simple data visualizations using D3.js. This project is unique because you will learn to build simple SVG-based data representations from scratch using D3.js.
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Course by
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Self Paced
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4 hours
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English
AI Workflow: Feature Engineering and Bias Detection
This is the third course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 3 introduces you to the next stage of the workflow for our hypothetical media company. In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the data. Class imbalances can seriously affect the validity of your
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Course by
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Self Paced
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12 hours
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English
Build an expense tracker app in Django
In this project, you’ll develop a web app for Rumi Press, a book distribution company, that helps the company manage its distribution expenses. You’ll use Python and Django to build data models, scaffold an application using Django Admin, and create visual reports. Upon completion, you’ll publish your project on GitHub and showcase your work with a compelling project overview. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.
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Course by
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Self Paced
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3 hours
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English
Design and Make Infographics (Project-Centered Course)
In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life.
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Course by
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Self Paced
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9 hours
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English
Share Data Through the Art of Visualization
This is the sixth course in the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations.
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Course by
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Self Paced
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24 hours
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English
Excel Power Tools for Data Analysis
Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.
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Course by
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15 hours
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English
Data Visualization and Dashboards with Excel and Cognos
Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines.
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Course by
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Self Paced
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24 hours
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English
Foundations: Data, Data, Everywhere
This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate.
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Course by
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Self Paced
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22 hours
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English
Data Visualization in Excel
In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides.
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Course by
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Self Paced
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18 hours
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English
Business Intelligence Concepts, Tools, and Applications
This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges.
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Course by
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Self Paced
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22 hours
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English
3D Data Visualization for Science Communication
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences.
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Course by
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Self Paced
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32 hours
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English
Essential Design Principles for Tableau
In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization.
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Course by
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Self Paced
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13 hours
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English