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Data Analyst - Basics and expertise for career changers

Further training as a data analysis specialist

Certificate of completion
(Cross) boarding
German, English
Free of charge with education voucher
Course description

The certificate course Data Analyst - Fundamentals and Expertise for Career Changers enables you to independently perform data analyses in the context of Work 4.0 and Industry 4.0. You will acquire highly sought-after skills in the Python programming language as well as expertise in SQL and machine learning.

Successful completion of the training qualifies you for the job role of (Junior) Data Analyst or another analytical role such as (Junior) Business Intelligence Analyst or (Junior) Financial Analyst. The Data Analyst certification proves your new knowledge and skills and allows you a successful career change.

In this training you will learn
Data Analytics Skills
Python Skills
AI Skills
  • Fundamentals of Industry 4.0 and Work 4.0
  • Refreshing basic mathematics and statistics knowledge
  • Successful project management
  • Basic data and AI skills.
  • Tools for data analysis and data visualization with focus on SQL and Google Data Studio
  • Basics for data analysis with Python
  • Basics for Machine Learning
  • Best practices for communication and presentation

Target group

The target group for the Data Analyst - Fundamentals and Expertise for Career Changers certificate course is clerical staff, office administrators and administrative staff who are unemployed, on short-time working or who are about to lose their job and who would like to have the further training funded with an education voucher from the employment agency or job center. The training is suitable for career changers and the ideal entry into a data-driven job role as a data analyst or business analyst.

Requirements for participation

This training can only be financed with an education voucher from the employment agency or job center. No programming skills or a university degree are required for the Data Analyst course. You should have a motivation for numbers, logical thinking and a routine in the daily use of computers. You must also have a B2-level knowledge of German and an A2-level knowledge of English.


Introduction - Changing world of work through Industry 4.0

In the first module, you will deal with important basic concepts of digitization such as Industry 4.0 and Working 4.0. Here, you will learn how Industry 4.0 is changing the world of work and what these changes mean for you. The second chapter of this module deals with the topic of Work 4.0 and provides you with valuable skills for digitization in the commercial sector. In the last chapter, the topic of Work 4.0 is further concretized and you learn valuable soft skills to master the increasingly digital world of work.

Chapter 1: Industry 4.0 - How will Industry 4.0 change the way we work tomorrow and what does it mean for me?
Chapter 2: Working 4.0 - competencies for digitization in the commercial sector
Chapter 3: Work 4.0 - Working in new forms of work

Basic knowledge refresher - Mathematical-statistical knowledge

In the second module you refresh your mathematical and statistical knowledge. This includes basics of algebra, basic concepts of probability, general normal distribution and basic statistical methods.

Chapter 1: Basic mathematical-statistical knowledge

Project Management

In the third module, you will familiarize yourself with the basics of project management. The focus of this module is on project organization, methods, project execution and control, resource management and project evaluation.

Chapter 1:Project Management Basics

Data skills

In the fourth module, you will acquire fundamental data and AI skills. With a data-driven mindset, you will understand why decisions based on data are essential and how you can successfully implement them with data thinking. You will learn what artificial intelligence can do and what it takes for successful AI projects in the enterprise. The module is rounded off with best practices in data storytelling. This will enable you to communicate your data knowledge and the data-driven results in a way that is appropriate for your target group.

Chapter 1: Data Literacy

  • Big Data
  • Datafication
  • Artificial intelligence
  • Internet of things

Chapter 2: AI Literacy

  • Introduction to AI
  • Typical applications of AI
  • Advanced applications of AI

Chapter 3: Data Driven Management

  • Data Strategy
  • Data Thinking
  • Data Management

Chapter 4: Data Storytelling

  • Introduction
  • Determine the context
  • Tell your Data Story
  • Choose the right image
  • Final project

Data analysis and data visualization tools

In this module you will learn the basics of relational databases and database models, perform simple data queries and deepen your SQL knowledge in a project work with a final presentation. In the further course of this module you will learn the basics of data visualization with Google Data Studio. This includes the theory of data visualization, the theory of models, the introduction to Google Data Studio and the implementation of complex data visualization projects.

Chapter 1: SQL Basics for Software Developers
Chapter 2: Data Visualization with Google Data Studio

Data Analyst with communication and presentation skills

In the sixth module, you will learn to independently clean, prepare, and visualize data and make business-relevant predictions. You will acquire highly demanded skills in the programming language Python as well as in the area of machine learning.

Chapter 1: Python Beginners Guide

  • Python Basics
  • Programming Basics
  • Loops and Functions

Chapter 2: Data Analytics with Python

  • Data Pipelines (Pandas)
  • Data Exploration (Matplotlib)
  • Predictions (Statistics)
  • Internal Data (SQL)
  • External Data (API)
  • Advanced Jupyter
  • Exercise Project
  • Final Project

Chapter 3: Machine Learning Basics

  • Supervised Learning (Regression)
  • Supervised Learning (Classification)
  • Unsupervised Learning (Clustering)
  • Unsupervised Learning (Dimensionality Reduction)
  • Outlier Detection

Communication and presentation

In the additional module, you will learn many helpful methods and tricks for communicating and presenting content in a way that is appropriate for the target group. The focus is on teaching you new skills in visualization, presentation and moderation. In addition, we show you how to best follow up on moderations and presentations.

Chapter 1: Skillful moderation - creative presentation

  • Visualize
  • Present
  • Moderate
  • Follow-up of moderations and presentations
The StackFuel Data Lab offers me real added value. Here you can feel the practical relevance particularly well. The tasks were always clearly described and presented. So I always knew what I had to do. The training itself was a great experience!
Alexander Gross
Data Analyst at AIC Portaltechnik
The greatest added value for me is the practical relevance. Thanks to StackFuel, I can quickly implement what I've learned and adapt it for myself. That is the real learning success behind the online trainings.
Lutz Schneider
Strategic IT Buyer at Axel Springer SE
The content of StackFuel's online training was very practical. There were many good examples and projects. I found that very interesting and instructive. Since the training, my everyday professional life has changed significantly: I am now a data analytics specialist in my department.
Jaroslaw Wojciech Sulak
Specialist for data analysis at IAV GmbH
The user-friendly and flexible Python programming training has completely changed my view of complex data structures. Thanks to the sustainable and well thought-out learning concept as well as the seamless application of the learning content in the development environment, I can now implement the newly learned knowledge in my everyday job in test automation in greater depth and process data more easily and efficiently since then.
Jenny Lindenau
Technical Manager Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH

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