Data Analyst (IHK) - Focus on Python and Power BI

Data is the basis of digitization and is becoming the most important asset of companies. Employees who understand data processes and analysis methods and who can apply them without in-depth IT training have new opportunities to make their work processes more efficient and creative. For this purpose, the CITT offers the “Data Analyst (IHK) – Focus Python and Power BI” training course.
In this 20-day online training course with live trainers, you will learn the basics of data processing and data analysis. You understand how data processes work, you can plan them and efficiently implement them in reality. You can visualize complex data and facts clearly and interactively and thus provide a maximum of information.
In addition to acquiring these practice-oriented implementation skills, you will learn the programming language Python. The content is introduced in practical examples and with the help of sample data and demonstrated live in the source code. Subsequent exercises support you in trying out and deepening the theoretical knowledge you have acquired.

Your advantages:

You develop solutions and processes for your direct business environment and implement them.
You sharpen your view of the value chain and increase your security when dealing with data.
From practice for practice: You benefit from the many years of experience of company experts and the IHK, which have been incorporated into the concept of the course.

Contents

The training is divided into several qualification modules and three modules. In the second module you will work on a written project work. After its successful presentation and examination, you have the opportunity to receive an IHK certificate for it.

Module 1: Data Analysis with Power BI (30 teaching units)

Theoretical introduction to data visualization
Basic rules of data visualization
Introduction to Power BI
Basic functionality in Power BI
Data visualization in Power BI

Module 2: Data Analyst (IHK) with KNIME (90 teaching units)

Basics of data analytics – the ETL process
Visual analysis and reporting – getting started with BI tools
Advanced data analytics – databases, machine learning, workflow control
Assess, plan and implement data projects
Practical implementation: planning data projects, building models and making predictions
Written project work
IHK exam

Module 3: Python (80 teaching units)

Python basics
Data analysis with Python

Target audience

Employees in commercial, productive or managerial activities with a basic understanding of data. Programming knowledge is not a requirement.
We recommend experience in handling data and data processing, especially in spreadsheet programs, as well as basic knowledge in the field of statistics and basic IT knowledge in a professional environment.

Entry requirements

A Continental notebook computer is required for this training. Since the training also includes programming exercises according to the instructions of the trainer, it is highly recommended to take part in the training with two screens.

The software and tools used are made available during the training via virtual machines.