Introduction to Business Analytics

Name: Introduction to Business Analytics Course
Price: 36 USD

with Randy Rosseel

4.8/5

(1,154)

Apply analytical techniques in practice: Master the management of successful analytics projects in large corporations

6 hours of content 16857 students

Start for Free

What you get:

6 hours of content
14 Interactive exercises
36 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Introduction to Business Analytics

A course by Randy Rosseel

Start for Free

What you get:

6 hours of content
14 Interactive exercises
36 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Start for Free

What you get:

6 hours of content
14 Interactive exercises
36 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

What You Learn

Successfully manage the expectations of various stakeholders in your organization
Identify key performance indicators and metrics essential for setting realistic and impactful targets within your company
Improve your understanding of various analysis methodologies and apply them to real-world scenarios
Gain a clear idea of the end-to-end processes in a large corporation
Understand the various phases of the analytics lifecycle
Master how to perform end-to-end business process mapping

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Curriculum

1. Setting the scene

4 Lessons 16 Min

The first section of the course teaches you the fundamentals of how companies develop short- and long-term expectations, why that is necessary, and how businesses set up a system to monitor their performance.

What does the course cover?
5 min
Managing expectations of different stakeholder groups
4 min
Preparing an annual business plan and a long-range plan
5 min
Analytics vs analysis
2 min
2. Understanding your business

5 Lessons 17 Min

Here, 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.

Introduction - understanding your business
1 min
Stakeholder mapping
3 min
Defining business intelligence
6 min
End-to-end process mapping (part 1)
3 min
End-to-end process mapping (part 2)
4 min
3. An in-depth view of end-to-end processes in a corporation

5 Lessons 12 Min

An 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)

Hire-to-retire (H2R)
3 min
Source-to-Pay (S2P)
3 min
Record-to-report (R2R)
1 min
Order-to-Cash (O2C)
4 min
Global process owners - Conclusion
1 min
4. Target setting

6 Lessons 35 Min

This 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.

Identifying a firm's key value drivers
6 min
Metrics vs KPIs
3 min
Define your metrics
10 min
The benchmarking exercise
7 min
The importance of data
1 min
The master data governance function
8 min
5. Maturity stages in analytics

5 Lessons 24 Min

An 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.

Introduction - maturity stages in analytics
1 min
Descriptive analytics
11 min
Diagnostic analytics
5 min
Predictive analytics
2 min
Prescriptive analytics
5 min
6. Analytics techniques in practice

16 Lessons 96 Min

A 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
1 min
Trend analysis
8 min
Trend analysis in Excel
9 min
Comparative analysis
6 min
Comparative analysis in Excel
5 min
Value-based analysis
8 min
Value-based analysis in Excel
5 min
Correlation analysis
5 min
Correlation analysis in Excel
4 min
Time series analysis
8 min
Time series analysis in Excel
8 min
Regression analysis
9 min
Regression analysis in Excel
5 min
Machine learning analysis
6 min
Types of machine learning
7 min
Conclusion
2 min
7. Analytics life cycle

10 Lessons 49 Min

This 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
2 min
Hypothesis development
3 min
Situational analysis
4 min
Building a RACI matrix
5 min
What makes for a successful project?
4 min
Current state analysis
7 min
Blueprint and design
7 min
Build and test
3 min
Build and test: step-by-step
8 min
Deploy and operationalise: operationalise-and-operationalise
6 min
8. Data visualization for business analytics

1 Lesson 8 Min

In 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.

Data visualization
8 min
9. Practical case study

2 Lessons 23 Min

In 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.

Practical case study (part 1)
8 min
Practical case study (part 2)
15 min

Topics

Data AnalysisBusiness AnalyticsTheoryProcess MappingStakeholder MappingBusiness Skills

Tools & Technologies

Course Requirements

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

Who Should Take This Course?

Level of difficulty: Beginner

Aspiring business analysts, data analysts, and data scientists
Current business analysts, data analysts and data scientists who want to boost their business acumen
Managers in large organizations

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Randy Rosseel

Finance Director at

1 Courses

1154 Reviews

16857 Students

Randy Rosseel is a Six Sigma Master Black Belt, and a CFA charterholder with ample executive experience. He has spent over 16 years working at Coca-Cola European Partners as Business Controller and Finance Director for the corporate office. In the last couple of years, he has also been leading global change projects for setting up Shared Service Centers and a Business Analytics Center of Expertise. All that experience has given Randy a unique perspective on 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 and consulting, which inspired him to share his expertise with our audience.