Are you using Python in your Financial Controlling team or are you planing to do so?
Then this course is ideal for you. Proven with many financial controlling teams from large corporations, we help your team to improve the effectiveness of your campaigns and calculate your returns on investment get valuable insights from tons of data coming from your online advertising campaigns manage and coordinate omni-channel presence.
Day 1: Connect your data
On the first day, we will start bringing all your team to the same level. All participants by 10 AM have a running coding suite that caters all needs. No one is left behind.
We use the first day walking through data you will provide to the course. This way, you are highly familiar with the subject matter from the start – and develop own ideas what to look for in the data.
Over the course of the day, you will load data from your corporate sources, find flaws, clean it up, visualize it and draw first insights that you have not seen before.
Day 2: Build productive solutions
On the second day, you already know how to derive first insights from your data with Python. We will now focus on building productive solutions for your use case.
Do you want to analyze monthly changes in revenues and expenses? Or evaluate the return on VAT reclamation? You will get the required skills at hand to help yourself.
We will group data and analyze statistics of different cost center items. We will comprehend data as time series and monitor changes of relevant KPIs over time. And we will search for suspicious transactions and predict balance sheet items into the future.
Contact us for securing your Python for Financial Controlling training
To design your personal Python course, leave us a message and we will be right in touch with you.
Experience the difference
This Python course is ready-built for your requirements. It will be based on data you provide, tasks you have at hand, and challenges you want to solve.
We are creating a uniquely targeted learning experience for you and enable you to build productive solutions with Python from Day 2.
You won’t learn a programming language. You will learn to think code – and open a new world for you, your job and your business.
Are you interested in a particular topic?
We design your Python course to your very needs. For beginner’s levels, we recommend covering:
Reading data from Excel, SPSS, and databases
Analyzing, cleaning and processing data using pandas, numpy and scipy
Visualizing data using matplotlib and seaborn.
Does your team already work with Python? We recommend the following specializations to advance in particular topics:
Contact us for securing your Python for Financial Controlling training
To design your personal Python course, leave us a message and we will be right in touch with you.
Use case time!
Now you are already on this page – thus, we suppose you are interested in using Python in your Controlling team.
We would be curious to learn your very particular use case. To get inspired, have a read through the following generic ones for Python in Financial Controlling:
Automate Financial Forecasting
Automate Forecasting in Python teaches you how to automate key steps of the Financial Forecasting process.
- First, you will learn core Financial Management concepts, including the importance of big data in building a forecast.
- Next, you will discover how to use Python to collect data from different sources, including external APIs and how to use Python to clean data for use.
- Finally, you will explore how to ensure your data is up to date using SQLite and Python, and how to visually express your forecast in Python. When you’re finished with this course, you will have the skills and knowledge of building a relevant forecast that is automated by Python.
Reporting
Do you get tons of data from multiple sources for which you need to produce periodic reports? Python is an efficient tool for data pre-processing, analytics, and data visualization. You’ll need to write the code only once to create your first report. Afterwards, you can just run the code on a new dataset, and you’ll get the report within minutes.
Detect Fraud and Abnormalities in financial data
Software like SAP for handling all business processes of a company such as bookkeeping, controlling, sales, etc. and hosting a lot of financial data could lead to significant insights. However, working with interated software systems is not always easy and particular expensive, when new modules have to be onboarded for specific tasks.
Python allows to rapidly build a fraud and anomaly detection system customized for the task at hand. It allows for analyzing suspicious changes, checking for duplicates and double payments, transactions on weekends and holidays, unusual booking texts, and threshold crossings.
Audit Data Analytics
When it comes to the financial statement audit, Python can help with extracting, transforming (or formatting) and loading data, as well as testing and analyzing the data and developing visualizations to help view and document results.
Read more in this AICPA paper how Python can be used for extracting data and transforming it into the ADS standardized format, loading the standardized data, and developing code to further analyze the ADS standardized data set.
Contact us for securing your Python for Financial Controlling training
To design your personal Python course, leave us a message and we will be right in touch with you.
