Learning Data Science: Using Agile Methodology

Learning Data Science: Using Agile Methodology

Learning Data Science: Using Agile Methodology is an Intermediate level course on Business, created by an expert, Doug Rose. This course is an essential step for a person who needs to get better at his/her Business skills. It provides you a strong understanding on Business, Big Data, IT, Project Management, Business, Big Data, IT and Project Management.

Free Download - Learning Data Science: Using Agile Methodology
Author Doug Rose
Publish Date 12/6/2016
Skill Intermediate
Duration 1h 16m
Topic Big Data
Video Tutorials 19
Last Update N/A

A data science team asks great questions, explores the data, and delivers key insights. But at the end of the day your team needs to add real business value. Even the best data science teams won’t last long in your organization if they can’t generate revenue or lower expenses. The best way to generate business value is to deliver a constant stream of key insights in short two-week sprints. These short sprints give you real-time feedback to help keep your team on track. A short sprint will also help your team pivot so they can ask new questions based on what they learn from the data.

This course shows how to structure your work within a two-week sprint. See how to work within a data science life cycle (DSLC)—a methodology for cycling through questions, research, and reporting every two weeks. Explore key practices to help your team break down the work so it fits within a two-week sprint. Learn how to use tools like question boards to encourage discussion and find essential questions. And most importantly, learn how to grow your team’s shared knowledge and avoid common pitfalls.

Topics include:

  • Defining data science success
  • Determining project challenges and criteria for success
  • Using a DSLC
  • Iterating through DSLC sprints
  • Creating a question board
  • Breaking down your work
  • Adding to organizational knowledge
  • Avoiding pitfalls

Learning Data Science: Using Agile Methodology : Video Lessons

  • Welcome1m 23s
  • Review a typical project3m 52s
  • Work on a data science project4m 21s
  • Compare project challenges4m 31s
  • Set success criteria4m 8s
  • Use a DSLC4m 51s
  • See how to use a DSLC4m 18s
  • Loop through questions4m 7s
  • Iterate through DSLC sprints4m 13s
  • Create a question board4m 40s
  • Focus on just a few meetings4m 37s
  • Break down your work4m 28s
  • Tell an interesting story4m 14s
  • Work without objectives4m 37s
  • Rely on serendipity4m 16s
  • Add to organizational knowledge4m 11s
  • Work without exploring4m 12s
  • Ignore business value4m 15s
  • Next steps1m 2s

Recommended video tutorials from YouTube.

  • Running Agile Data Science Teams | Data Dialogs 2015
  • John Akred, Silicon Valley Data Science http://datadialogs.ischool.berkeley.edu/2015/schedule/running-agile-data-science-teams What's the best way to pursue ...

  • DateTime : 2015-12-04 19:18:11
  • Source : Berkeley School of Information
  • "Agile Data Science: Achieving Salesforce-Scale Machine Learning in Production" with Sarah Aerni
  • Title: Agile Data Science: Achieving Salesforce-Scale Machine Learning in Production Speaker: Sarah Aerni Date: 6/4/2019 Abstract Every company needs ...

  • DateTime : 2019-06-07 18:41:04
  • Source : Association for Computing Machinery (ACM)
  • Agile Data Science at Salesforce - Sarah Aerni
  • From Women in Data panel at Lyft on October 18, 2018. How does Salesforce manage to make data science an agile partner to over 100000 customers? We will ...

  • DateTime : 2018-10-29 19:32:01
  • Source : SF Big Analytics

Please consider buying this course - Learning Data Science: Using Agile Methodology directly from the author - Doug Rose. This way you could help the author create more great content, also you may get personal help.

The links being shared are only for poor students who really cannot afford to pay. So, if you are capable of paying please do consider it once before trying the free download links.

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