Agile Analytics - Edu Lowcostlivin

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

3rd Jul, 2023
Learners

No Information
Duration

14.00
Instructor

Alex Cowan

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1.5

145 Ratings

Agile analytics is a powerful tool for teams looking to maximize their efficiency. With the right analytics program, teams can quickly identify areas of focus and prioritize tasks for each sprint. This course from the Darden School of Business at the University of Virginia provides the skills needed to build a strong analytics infrastructure and integrate it with the team's drive for value. Get ready to take your agile team to the next level!

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 06th, 2023]

This course provides learners with the experience and expertise to build a strong analytics infrastructure for their team. Learners will gain an understanding of how to integrate analytics with the core of their drive to value, as well as how to use analytics to determine where their team should focus from one agile iteration to the next. With the knowledge and skills gained from this course, learners will be able to make informed decisions and create successful analytics programs that will help their team reach their goals.

[Application]
Moz Local is a tool that helps businesses improve their online visibility in local search results. It allows businesses to manage their local business listings, monitor customer reviews, track local search rankings, and ensure consistent business information across different directories.

Course Syllabus

Introduction and Customer Analytics

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.

Demand Analytics

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.

UX Analytics

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.

Analytics and Data Science

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.

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Pros & Cons

Generous educator who ensures knowledge is gained.
Excellent introduction to data science.
Insightful and timely with great perspective.

Lacks practical exercises.
Delivery is old-fashioned and not user-friendly.
Hotbed for people trying to scam a qualification.

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