Siriwat N.
Before 365:
Engineering student
After 365:
Data Analyst & Process Improvement | CJ MORE
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Online Course
free
Introduction to Business Analytics
with
Randy Rosseel
Apply analytical techniques in practice: Master the management of successful analytics projects in large corporations
17322 students already have enrolled
Skill level:
Basic
Duration:
6 hours
-
Lessons (5 hours)
-
Practice exams (45 minutes)
- Lessons (5 hours)
- Practice exams (45 minutes)
CPE credits:
7.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited:
certificate
What You Learn
- Manage stakeholders’ expectations effectively within your organization.
- Identify KPIs and metrics to set realistic, impactful business targets.
- Apply analysis methodologies to practical, real-world business scenarios.
- Gain a clear understanding of end-to-end processes in large corporations.
- Master the phases of the analytics lifecycle and business process mapping.
Topics & tools
data analysisbusiness analyticstheoryprocess mappingstakeholder mappingbusiness skillsexcel
Your instructor
Global Business Services Lead | Six Sigma Master Black Belt | CFA Charterholder
Track record
Bringing real-world expertise from leading global companies
Academic background
Other, Global Business Services
Course OVERVIEW
Description
CPE Credits: 7.5
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Business analytics offers a unique perspective on how world-class organizations use data-driven decision making as a tool for success. Throughout the course, you will develop the practical skills you need to manage a successful analytics project. The step-by-step modules take you all the way from stakeholder and process mapping, through end-to-end processes and benchmarking, to hands-on analytical techniques, including historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis. Once you finish the course, you will have a good idea how these techniques can be applied in practice, allowing you to thrive in any corporate environment.
Prerequisites
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
- All you need is a spreadsheet software or a programming tool to follow along
Advanced preparation
- None
Curriculum
54 lessons
14 exercises
4 exams
- 2. Understanding your business17 MinHere, you will gain an in-depth understanding of the mechanics of the entire process through practical examples. You will learn more about the various groups of stakeholders, their expectations, and how these are translated into the long-range plan and the annual business plan.
- 3. An in-depth view of end-to-end processes in a corporation12 MinAn in-depth view of end-to-end processes in a corporation - Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)
- 4. Target setting35 MinThis section is dedicated to target-setting. You will learn how to identify key value drivers, what are metrics, and what distinguished metrics and KPIs. This part of the course also explains internal and external benchmarking, as well as the importance of the Master data governance function.
- 5. Maturity stages in analytics24 MinAn introduction of the different stages of analysis and a high-level overview of the types of analytics techniques that can be implemented in each of these stages within a company’s day to day activities. This section provides you with an excellent holistic framework about the descriptive, predictive, and prescriptive types of analytics implemented by businesses in different industries around the world. Once you complete the section, you will have a good understanding of what can be done in different situations and how these analytics can create value for your organization.
- 6. Analytics techniques in practice96 MinA closer look into the topic where you will improve your understanding of trend analysis, comparative analysis, and value-based analysis through relevant practical examples. Further on, the section covers time-series correlation and regression analysis, and you will get familiar with some of the more advanced techniques that are rapidly increasing in popularity, such as business decision trees, machine learning, and natural language processing.Introduction - analysis techniques in practice FreeTrend analysis FreeTrend analysis in Excel FreeComparative analysis FreeComparative analysis in Excel FreeValue-based analysis FreeValue-based analysis in Excel FreeCorrelation analysis FreeCorrelation analysis in Excel FreeTime series analysis FreeTime series analysis in Excel FreeRegression analysis FreeRegression analysis in Excel FreeMachine learning analysis FreeTypes of machine learning FreeConclusion Free
- 7. Analytics life cycle49 MinThis last section focuses on project management and reveals some critical success factors which you can bear in mind when working on your own analytical project. We will go through a Step-By-Step plan showing how to execute a project by reviewing each of the six phases of the analytics project's lifecycle: the hypothesis development phase, situation analysis, current state analysis, the blueprint and design phase, the build and test phase, and the deploy and operationalize phase.Introduction - analytics lifecycle FreeHypothesis development FreeSituational analysis FreeBuilding a RACI matrix FreeWhat makes for a successful project? FreeCurrent state analysis FreeBlueprint and design FreeBuild and test FreeBuild and test: step-by-step FreeDeploy and operationalise: operationalise-and-operationalise FreePractice exam Free
- 8. Data visualization for business analytics8 MinIn this section, you will learn how to create powerful data visualizations to communicate your message. As BI tools are winning popularity, people are less interested in getting information from long pages of text. You will understand how to tell a story in a format that is easy to read and, quite importantly, gives your audience clear answers without the help of an analyst.
- 9. Practical case study23 MinIn this section of the course, we will blend the knowledge acquired in the previous lessons with a practical exercise that shows how the principles covered so far can be applied in a real-life situation. We will study how the Supply Chain division of a company works and how business analytics helps run operations smoothly.
- 10. Course exam40 Min
Free preview
1.1 What does the course cover?
5 min
1.2 Managing expectations of different stakeholder groups
4 min
1.3 Preparing an annual business plan and a long-range plan
5 min
1.5 Analytics vs analysis
2 min
2.1 Introduction - understanding your business
1 min
2.3 Stakeholder mapping
3 min
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