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.
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
Paul is a real-world experienced and practical guy.
He consults with the European Space Agency, Universities, and high profile companies to help them leverage cloud-based technologies to solve their Big Data problem.
Paul also runs the "Dublin Bigdata and IoT" meetup. He also has that right balance between DevOps, Infrastructue, and Software Development in the Big Data and IoT sectors.
Section Introduction Transcripts
Section Introduction Transcripts
Course Overview (Music) Hello, my name is Paul Foran, and welcome to this course, Analyzing Business Requirements for Data Science. Data science has certainly become a hot topic for all businesses. Investing in data science activities for your business can certainly yield some interesting gems in your datasets and lead to a valuable IP for your organization. So who is this course for? Well, almost everybody in the organization that can contribute to the data science project. This course is broken up into two modules. The first module determines if data science is indeed a fit for your organization. We look at the stakeholders, the skills the team has, and the tools required to get the job done. The second module, we look at quantifying the business problem, looking at risk assessments where problems can go wrong with a data science project, assessing the effectiveness of the data science project from a business goal's perspective to ensure that it adheres and meets and exceeds the business goals. In this course, you will learn the strategic, practical, and technical skills to cover if data science can indeed benefit your organization. We will look at how to gather the right stakeholders with a view to providing a solid data science story to your company that adds real business value. I hope that you find this course refreshing, enjoyable, and it also helps your organization to achieving successful data science outcomes.