*Note, this course is still under construction, but should you enroll while it is being rolled out, you can enjoy the benefit of the discounts offered and have access to all the lectures when they are completed.*
In this course you will learn, in detail, how to configure the SAP CO module from the very beginning. The course will go into the detailed configuration settings required to get the CO module, specifically the components for Overhead Cost Controlling, up and running. It will also look at what changes S/4 introduces to the CO module.
In particular, the course will cover the following topics:
Overview of the CO module.
Configuration of the Organisational Structures and Assignments.
Configuration of Cost Element Controlling, Cost Center Controlling and Internal Orders.
Set-up of Master Data required for the various modules.
Processing of transactions for the modules.
See the effect of the various configuration settings on the transaction flow and results.
Overview of the changes that S/4 introduces to the CO module.
Through this course I hope to bring the years of experience I have had in configuring SAP CO to you.
The lectures can be found on the right under 'The definitive SAP CO Overhead Cost Controlling Course'
I am pleased to announce that all my 'Your own SAP Cloud System in 30 minutes' lectures are now available for free on YouTube. They are conveniently added to this page.
Data scientists are
multi-skilled individuals. They are well educated and technically proficient
with in-depth industry knowledge and a sense of curiosity that drives them to
solve complex problems.
Data scientists are business analysts, mathematicians, statisticians and
computer scientists. These individuals are in high demand and well paid.
Who wouldn't want to be one?
Data science as a discipline was virtually unknown a decade ago, but the
technological landscape changed and with it the way that companies think about
the mass of structured and unstructured data it has accumulated. This data
or Big Data is no longer something that can be ignored or
something that IT must handle as an afterthought, but to actively mine for
insights and increased revenue and the miner of this data is the Data
Scientist.
The origin of data scientists
Data scientists started their careers as data analysts, business
analysts and statisticians. These individuals are were typically mid to
high-level business people with a flair for numbers and the technical skills to
access and query data.
They may also have a strong academic background in Data Science, with
many universities offering degrees in Data Science, for example, this one at
the University of London.
Duties of a data scientists
There's not a
definitive job description when it comes to a data scientist role, but a Data
Scientist will have to fulfil a highly technical role while translating and
communicating the results of their analysis to exec in their business. Some of
the functions may include:
Lead data mining and collection procedures
Interpret and analyse data problems
Conceive, plan and prioritise data projects
Build analytic systems and predictive models
Test performance of data-driven products
Visualise data and create reports
The data scientist’s toolbox
These terms and technologies are
commonly used by data scientists:
·Data
visualization: the
presentation of data in a pictorial or graphical format so it can be easily analysed.
·Machine
learning: a branch of artificial
intelligence based on mathematical algorithms and automation.
·Deep learning: an area of
machine learning research that uses data to model complex abstractions.
·Pattern recognition: technology that recognizes patterns in data
(often used interchangeably with machine learning).
·Data
preparation: the process of converting raw data into another
format so it can be more easily consumed.
·Text
analytics: the process of examining unstructured data to glean key business
insights.
How do you become a data scientist?
As with the job description of a data
scientist, there is no single way to start a career as a data scientist. There
are several options though, depending on your interests, the stage of your
career, time available and so on. As this blog focus on SAP and its related
products, you could try an online course on SAP predictive analytics. This
course has been prepared by us to start you off on your Data Scientist journey.
I want to lift this blog to a new level by publishing more tutorials and training content. The training will be aimed at guiding a learner to create powerful applications using the tools and technologies available in SAP.
I am exploring new topics, but since time and money is always a limiting factor, I have narrowed it down to three. The topics are things that I am interested in and have some experience in developing. Here they are, please let me know in the comments below what you would like to see (after BPC Embedded 11) is released:
SAP Blockchain Technology
SAP Analytics Cloud
SAP HANA Predictive Analytics
So pop me a note or comment and let e know what you would like to see. I really like reading feedback on what I have created and whether you have found it useful.
I am making good process with the new SAP BPC Embedded course. Two new lectures are 'in the can'. They contain the content for creating all the InfoProviders required to complete the planning application. I had to split the lecture into two, as it was getting too long. Both lectures can be accessed here:
Creating courses can be a pain... take a topic you know very well, or think you know very well. Put all your thoughts and ideas on a piece of paper. It turns out that knowledge of a topic does not mean that you can teach it. I found that out the hard way. Creating courses takes a lot of time and some money. I have nailed down a process, but what works for me may not work for anyone else. For me, it is all about maximizing the output for any given input. In the case of video courses, the process that works for me means that for every 10 minutes of video takes about 4 hours to produce. That is; write the material, record the video, edit and clean up the audio, then combine the two again in editing, enhance the video and finally exporting it. My process may take a little longer, but I spend a lot of time on the audio. I edit out all breathing and other little annoying noise that may distract from the content. That means that I record the audio and video separately. This opens up the editing options but comes at some added overhead when stitching the pieces together into a project.
...and I do all of this without even knowing if the course will sell. If you would like to know more about my process, the software I use etc, let me know and I will create more posts on that.
I am in the process of creating a new SAP BPC Embedded course on udemy.com. It should be ready in a few weeks, but in the meantime, here is the first lecture:
Links to my udemy.com courses are on this website and the links include a coupon code to access the courses at a discount. I am also in the process of publishing a new udemy course on BPC 11 which should be ready in a few weeks.
