Introduction to Business Analytics

with Randy Rosseel
4.8/5
(1,107)

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

6 hours of content 16257 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

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

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

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

$99.00

Lifetime access

Buy now

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

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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What does the course cover?

1.1 What does the course cover?

5 min

Managing expectations of different stakeholder groups

1.2 Managing expectations of different stakeholder groups

4 min

Preparing an annual business plan and a long-range plan

1.3 Preparing an annual business plan and a long-range plan

5 min

Analytics vs analysis

1.5 Analytics vs analysis

2 min

Section introduction

2.1 Section introduction

1 min

Stakeholder mapping

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.

    Section introduction
    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.

    Section introduction
    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.

    Section introduction
    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.

    Into to Section 7
    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 mapping

Tools & Technologies

excel

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.

Exams and certification

Meet Your Instructor

Randy Rosseel

Randy Rosseel

Finance Director at

1 Courses

1107 Reviews

16257 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.

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