Analyzing Business Requirements for Data Science

Focused View

Paul Foran

50:42

145 View

1. Course Overview

1. Course Overview.mp4

01:38

2. Determining if Data Science Is an Appropriate Fit for the Organization

01. What Is Data Science.mp4

02:15

02. What Is the Project Motivation Factor.mp4

02:02

03. Hard-skills and Soft-skills.mp4

01:06

04. Identifying the Hard-skills.mp4

03:10

05. Meet the Stereotypical Technical Players.mp4

02:19

06. Identify Your Stakeholders.mp4

02:19

07. Selecting the Right Stakeholders.mp4

02:11

08. Get to Know Your Stakeholders.mp4

01:05

09. Managing the Initial Stakeholder Engagement.mp4

01:05

10. Asking the Right Questions.mp4

01:58

11. Capturing Stakeholders Needs.mp4

00:52

12. Assessing Stakehoders Needs.mp4

01:37

13. Accessing the Data.mp4

01:38

14. Project Gap Analysis.mp4

01:35

15. Present the Proposal.mp4

00:37

16. Accessing the Teams Reaction.mp4

00:33

17. Address and Capture Any Concerns.mp4

01:10

18. Establishing Agreement to Proceed the Project Further.mp4

01:21

3. Quantifying the Business Problem

01. Access the Need of the Project to the Business.mp4

00:45

02. High Risk Data Science Project Scope.mp4

00:32

03. Low Risk Data Science Project Scope.mp4

00:43

04. External vs. Internal Facing Project Scope.mp4

00:38

05. Defining Business Metrics.mp4

04:24

06. Business Metrics Classifications.mp4

02:35

07. Managing Technical Metrics.mp4

03:00

08. Data Science Project Risks.mp4

02:33

09. Data Science Project Lifecycle.mp4

01:30

10. Quantifying the Risks for the Data Science Project.mp4

03:31

Description

This course takes you through the complete lifecycle of a data science project from proposal right through to the approval stage. It provides you with some invaluable insights on stakeholder management during this journey.

What You'll Learn?

Data Science has certainly become a ‘hot topic’ for all businesses. Investing in Data Science activities for your business can certainly yield some hidden gems in your data sets and lead to valuable IP or improvements in operational efficiencies for your organization! In this course, Analyzing Business Requirements for Data Science, you will learn the strategic, practical and technical skills to discover if data science can indeed benefit your organization. First, you will see how to gather and manage the right stakeholders with a view to providing a solid Data Science story to your company that adds REAL business value. Next, you will discover how to determine and risk assess your data science business and technical requirements. Finally, you will explore how to quantify the business problems and learn what to do when mitigating the risk of a project not yielding business value. When you're finished with this course, you will have the skills and knowledge of Analyzing business requirements for data science needed to guide you through the process of managing and delivering a data science project to your organization

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

Data Analysis

Business Analysis

Paul Foran

Instructor's Courses

Paul is a practical and experienced software developer and architect. He leads in a practical hands-on manner and loves to share his experiences with the broader community. Paul has worked across a broad range of business sectors. He also has been involved in a number of successful startups solving complex software and hardware issues. He runs the Dublin Big Data and IoT meetup. He also has spent half of his career in IoT hardware design. Currently Paul is running his own business consulting with high profile companies to solve and help integrate cloud-based big data platforms. He has a lot of DevOps, Infrastructure, and Software Development experience. Paul also consults with the European Space Agency and local Universities in Dublin, Ireland

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.