Gantt Charts: What They Are and How to Make Them
Gantt charts are a key tool used in project management. Learn more about Gantt charts, when and why to use them, and how to create one in five steps.
July 16, 2024
Article
This course is part of multiple programs.
Instructor: Alex Cowan
33,648 already enrolled
(472 reviews)
(472 reviews)
How to naturally, habitually tie your team’s work to actionable analytics that help you drive to user value.
How to pair your hypotheses on customer personas and problem with analytics.
How to test propositions (a la Lean Startup) so you don’t build features no one wants.
How to instrument actionable observation into everything you build (a la Lean UX).
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Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at the Darden School of Business at the University of Virginia, you'll learn how to build a strong analytics infrastructure for your team, integrating it with the core of your drive to value.
Without an actionable view of who your customer is and what problems/jobs/habits they have, you’re operating on a shaky foundation. This week, we’ll look at how to pair your qualitative analytics on customer hypotheses with testable analytics.
12 videos1 reading2 assignments3 discussion prompts
Why build something no one wants? It seems like an obvious question, yet a lot (probably >50%) of software ends up lightly used or not used at all. This week, we’ll look at how to run fast but definitive experiments to test demand.
14 videos4 assignments1 discussion prompt
Strong usability most often comes from ongoing diligence as opposed to big redesigns. Teams that do the hard work of consistently testing usability are rewarded with a consistent stream of customer wins and a culture of experimentation that makes work more enjoyable and rewarding.
15 videos4 assignments1 peer review2 discussion prompts
The availability of big data and the ascendance of machine learning can supercharge the way you approach analytics. This week, we're going to learn how data science is changing analytics and how you can create a focused, productive interfaces to a data science capability.
18 videos4 assignments2 discussion prompts
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Reviewed on Sep 29, 2020
Thanks Prof. Cowan and team for this course. Not only refreshed many fundamental but learned many new things.
Reviewed on Jan 8, 2022
I loved the whole specialization has a lot of benefits about product management from A to Z yet some lessons were confusing and doesn't have a clear view of how to use a specific concept or tool.
Reviewed on Feb 14, 2021
I didn't get as much out of this as the other courses, but I already work with a lot of analytics so the material wasn't really new to me. The interviews with industry professionals were good.
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