Introduction to Business Analytics
Introduction to Business Analytics, available at $84.99, has an average rating of 4.55, with 55 lectures, 7 quizzes, based on 5507 reviews, and has 22469 subscribers.
You will learn about Acquire business acumen Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance Be able to understand how to measure business performance Learn from a professional with a proven track record and valuable experience Become familiar with modern business analytics techniques Understand stakeholder mapping Learn about end-to-end process mapping Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation Identify key value drivers Compare metrics vs KPIs Define metrics Perform benchmarking Learn about the imoprtance of the Master Data function Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis Acquire an understanding of how to manage an analytics project Gain an understanding of what makes for a successful analytics project This course is ideal for individuals who are People who want a successful career in Business or Business executives or Ambitious managers or Individuals who want to start their own company, but have not had the necessary business training or Business intelligence analysts or Financial analysts or Anyone who wants to understand how to measure business performance It is particularly useful for People who want a successful career in Business or Business executives or Ambitious managers or Individuals who want to start their own company, but have not had the necessary business training or Business intelligence analysts or Financial analysts or Anyone who wants to understand how to measure business performance.
Enroll now: Introduction to Business Analytics
Summary
Title: Introduction to Business Analytics
Price: $84.99
Average Rating: 4.55
Number of Lectures: 55
Number of Quizzes: 7
Number of Published Lectures: 55
Number of Published Quizzes: 7
Number of Curriculum Items: 62
Number of Published Curriculum Objects: 62
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Acquire business acumen
- Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance
- Be able to understand how to measure business performance
- Learn from a professional with a proven track record and valuable experience
- Become familiar with modern business analytics techniques
- Understand stakeholder mapping
- Learn about end-to-end process mapping
- Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation
- Identify key value drivers
- Compare metrics vs KPIs
- Define metrics
- Perform benchmarking
- Learn about the imoprtance of the Master Data function
- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis
- Acquire an understanding of how to manage an analytics project
- Gain an understanding of what makes for a successful analytics project
Who Should Attend
- People who want a successful career in Business
- Business executives
- Ambitious managers
- Individuals who want to start their own company, but have not had the necessary business training
- Business intelligence analysts
- Financial analysts
- Anyone who wants to understand how to measure business performance
Target Audiences
- People who want a successful career in Business
- Business executives
- Ambitious managers
- Individuals who want to start their own company, but have not had the necessary business training
- Business intelligence analysts
- Financial analysts
- Anyone who wants to understand how to measure business performance
When can we say that a business is successful?
Which are the techniques corporations use to monitor their performance?
What makes for an effective analytics project?
If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place.
This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business.
In this course, you will learn 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 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
All of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years. He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees.
Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first.
So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world.
What you get
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A well-prepared and structured business analytics training
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Active Q&A support
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Course notes
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Hands-on exercises
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Quiz questions
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All the knowledge to apply analytics in a business context
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A certificate of completion
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Access to all future course updates
And we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.
Why wait? Every day is a missed opportunity.
Click the “Buy Now” button and become a part of our business analytics program today.
Course Curriculum
Chapter 1: Setting the scene
Lecture 1: What does the course cover?
Lecture 2: Managing expectations of different stakeholder groups
Lecture 3: Preparing an annual business plan and a long-range plan
Lecture 4: Analytics vs analysis
Chapter 2: Understanding your business
Lecture 1: Section intro
Lecture 2: Stakeholder mapping
Lecture 3: Defining business intelligence
Lecture 4: End-to-end process mapping (part 1)
Lecture 5: End-to-end process mapping (part 2)
Chapter 3: An in-depth view of end-to-end processes in a corporation
Lecture 1: Hire-to-retire (H2R)
Lecture 2: Source-to-Pay (S2P)
Lecture 3: Record-to-report (R2R)
Lecture 4: Order-to-Cash (O2C)
Lecture 5: Global process owners – Conclusion
Chapter 4: Target setting
Lecture 1: Identifying a firm's key value drivers
Lecture 2: Metrics vs KPIs
Lecture 3: Define your metrics
Lecture 4: The benchmarking exercise
Lecture 5: The importance of data
Lecture 6: The master data governance function
Chapter 5: Maturity stages in analytics
Lecture 1: Section intro
Lecture 2: Descriptive analytics
Lecture 3: Diagnostic analytics
Lecture 4: Predictive analytics
Lecture 5: Prescriptive analytics
Chapter 6: Analytics techniques in practice
Lecture 1: Section intro
Lecture 2: Trend analysis
Lecture 3: Trend analysis in Excel
Lecture 4: Comparative analysis
Lecture 5: Comparative analysis in Excel
Lecture 6: Value-based analysis
Lecture 7: Value-based analysis in Excel
Lecture 8: Correlation analysis
Lecture 9: Correlation analysis in Excel
Lecture 10: Time series analysis
Lecture 11: Time series analysis in Excel
Lecture 12: Regression analysis
Lecture 13: Regression analysis in Excel
Lecture 14: Machine learning analysis
Lecture 15: Natural language processing
Lecture 16: Analytics in practice – Conclusion
Chapter 7: Analytics life cycle
Lecture 1: Section intro
Lecture 2: Hypothesis development
Lecture 3: Situational analysis
Lecture 4: Building a RACI matrix
Lecture 5: What makes for a successful project?
Lecture 6: Current state analysis
Lecture 7: Blueprint and design
Lecture 8: Build and test
Lecture 9: Build and test: Step-by-step
Lecture 10: Deploy and operationalise
Chapter 8: Data visualization
Lecture 1: Data visualization
Chapter 9: Practical case study
Lecture 1: Practical case study (part 1)
Lecture 2: Practical case study (part 2)
Lecture 3: Completing 100%
Instructors
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365 Careers
Creating opportunities for Data Science and Finance students
Rating Distribution
- 1 stars: 25 votes
- 2 stars: 66 votes
- 3 stars: 512 votes
- 4 stars: 2045 votes
- 5 stars: 2859 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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