Hi, I am Ned Krastev – co-founder of 365 Data Science, and I am happy to announce the latest release in the 365 Data Science Program – the Introduction to Business Analytics course.
In this post, I’ll briefly walk you through the content of the course. I’ll outline how it is structured, what topics it covers, and which cutting-edge skills it will help you acquire. Finally, I’ll tell you a bit more about the author of the course and his career path.
The 365 Introduction to Business Analytics Course
This course lays the groundwork for your superior business analytics skills. It will help you develop abilities that are highly prized in any business environment, but particularly so in large blue-chip corporations running a complex business.
Who is the Introduction to Business Analytics course for?
Introduction to Business Analytics is a perfect fit for those of you who would like to work in the corporate world. The course is also suitable for professionals who are already on the job and would like to expand their understanding of data-driven decision making. You will acquire practical skills that allow you to understand how companies measure value. And this is a priceless asset to your future career.
What is the structure of the course?
The course comprises 7 sections and 45 lectures. Each of the topics in the course builds on the previous ones. In addition, there are plenty of downloadable resources: course notes, exercise files, PDF materials. Working with these will help you reinforce what you have learned.
What skills will you acquire?
Once you complete the course you’ll know how to:
- Define business expectations
- Distinguish between a long-range plan and an annual business plan
- Perform stakeholder mapping
- Understand what business intelligence is and why it is essential for every modern company
- Carry out end-to-end process mapping
- Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)
- Identify key value drivers
- What are metrics and what distinguished metrics and KPIs
- Perform internal and external benchmarking
- Understand the importance of the Master data governance function
- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis
- Determine which is the most appropriate type of analysis depending on the problem at hand
- Acquire an understanding of how to manage an analytics project
- Gain an understanding of what makes for a successful analytics project
Quite exciting, isn’t it? I’d love to share more details, but it’s best that you discover them on your own in the Introduction to Business Analytics Course Page.
About the author
Randy Rosseel is a Six Sigma Master Black Belt, and a CFA charter holder with ample executive experience. He has spent the large part of his career (more than 16 years) working for Coca-Cola European Partners as Business Controller and Finance Director for the corporate office. In the last 7 years, he has also been leading global change projects including setting up Shared Service Centers and a Business Analytics Center of Expertise.
All of that experience has given Randy a rather unique perspective into business analytics, as he has seen how a world-class organization built up its analytics capabilities and positioned itself for success in the years to come. He also enjoys teaching which inspired him to share his expertise with you.