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Introduction to Business Analytics 2021 – Udemy

(10 customer reviews)

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What you’ll 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

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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

  • A well-prepared and structured business analytics training

  • Active Q&A support

  • Course notes

  • Hands-on exercises

  • Quiz questions

  • All the knowledge to apply analytics in a business context

  • A certificate of completion

  • 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.

Who this course is for:

  • 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

Course content

  • Setting the scene
  • Understanding your business
  • An in-depth view of end-to-end processes in a corporation
  • Target setting
  • Maturity stages in analytics
  • Analytics techniques in practice
  • Analytics life cycle
  • Data visualization
  • Practical case study

10 reviews for Introduction to Business Analytics 2021 – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Alica Cverdeľová

    I love this course, Angela explained it very easily and clearly from the beginning, but I loved her 1 minute final videos, which ended later: What a pity.
    BUT I felt a little disappointed now with the project Day 39/40. Where I was maximally lost, I could not come out of where to look for anything and it was poorly explained and the biggest mistake was that there were no videos with explanations, I think it was quite a complicated project where many things were used and no explanation, only the final results. And they carried a few things in the projects before, so I had her project run once and it showed her the mistake as well as me, so in that case you have to leave it at that and what else is a shame. It’s hard to do a project when you don’t see what’s going on there.
    I’m a little worried about the next few weeks, and I hope it won’t be a waste of time.

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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