Data Analytics with German
Fully funded by the German government
Develop your data analytics skills while enhancing your German language proficiency, learn to leverage AI, and work with expert mentors to prepare for a lasting career in tech. All in an online setup, with career coaching to help you land your new job, and 100% of the cost covered by the Agentur für Arbeit.
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Get an intro to data analytics and career change. - Access 5 lessons and explore the fundamentals of data analysis.
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Work your way through 5 tutorials, each packed full of insights on the world of data analytics.
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Are you unemployed in Germany?
You could be eligible to take our Data Analytics Program for free
What is a Bildungsgutschein?
A Bildungsgutschein is an educational voucher issued by the German Jobcenter (the Agentur für Arbeit). If you’re unemployed and officially registered in Germany, a Bildungsgutschein will enable you to learn new, in-demand skills for free.
Student Outcomes
For over a decade, we have empowered individuals to break into the tech industry through our comprehensive and highly-regarded career change program
+$15,082
the average salary increase per year
“Being able to handle criticism and constructive feedback is important, and it was good to get used to that at CareerFoundry because I’ve learned how to handle that in my job now.”
Ray Rusli Jr
10,000+ CareerFoundry graduates have launched exciting tech careers
Hands-on education in the skills of the future
We work together with skilled industry experts to create learning materials to get you job-ready. Manage your schedule however you like and dedicate anywhere from 15 to 40 hours per week to your studies.
Business German Course
You will complete the Business German Course before commencing the CareerFoundry Data Analytics Program.
1. Office language and everyday tasks
2. Business writing
3. Negotiating in a meeting
4. Communication strategies
5. Cognitive skills in the workplace
6. Advanced topics
7. Specific areas
8. Intercultural communication
Intro to Data Analytics
This course will take you through ten tasks leading up to one main project: a descriptive analysis of a video game data set to inform product development and sale strategies.
1.1 Data Analytics in Practice
Learn what data analysts do and get ready to kick off your own analysis.1.2 Introduction to Excel
Get to know Excel and learn how to sort, filter, format, organize, and visualize data.1.3 Understanding Your Data Set
Analyze and describe your data set, then identify sources of bias.1.4 Cleaning Your Data
Identify errors in your data and learn how to clean your data and minimize issues.1.5 Grouping & Summarizing Your Data
Create and manipulate pivot tables and learn more advanced Excel skills.1.6 Introduction to Analytical Methods
Explore different approaches to data analytics and the role of statistics.1.7 Conducting a Descriptive Analysis
Conduct a descriptive analysis by applying statistical methods in Excel.1.8 Developing Insights
Learn how to form hypotheses about data sets, and to generate useful insights.1.9 Visualizing Data Insights
Build helpful visualizations of your data to present findings to stakeholders.1.10 Storytelling with Data
Learn to present the results of your analysis in compelling ways.
Data Immersion
Immerse yourself into the mindset, processes, and tools that data professionals use every day. You’ll complete a total of six projects (achievements) consisting of several tasks each.
1. Preparing & Analyzing Data
Learn how to interpret business requirements to guide your data analysis and begin developing and designing your data project. Here’s what you’ll learn:1.1 A Brief History of Data Analytics
1.2 Starting with Requirements
1.3 Designing a Data Research Project
1.4 Sourcing the Right Data
1.5 Data Profiling & Integrity1.6 Data Quality Measures
1.7 Data Transformation & Integration
1.8 Conducting Statistical Analyses
1.9 Statistical Hypothesis Testing
1.10 Consolidating Analytical Insights
2. Data Visualization & Storytelling
Explore the different types of data visualization and what they can be used for, as well as some best practices to keep your visualizations accessible and easily interpretable.2.1 Intro to Data Visualization
2.2 Visual Design Basics & Tableau
2.3 Comparison & Composition Charts
2.4 Temporal Visualizations & Forecasting
2.5 Statistical Visualizations: Histograms & Box Plots2.6 Statistical Visualizations: Scatterplots & Bubble Charts
2.7 Spatial Analysis
2.8 Textual Analysis
2.9 Storytelling with Data Presentations
2.10 Presenting Findings to Stakeholders
3. Databases & SQL for Analysts
Develop database-querying skills while mastering SQL, the industry-standard language for performing these tasks in the real world.3.1 Intro to Relational Databases
3.2 Data Storage & Structure
3.3 SQL for Data Analysts
3.4 Database Querying in SQL
3.5 Filtering Data3.6 Summarizing & Cleaning Data in SQL
3.7 Joining Tables of Data
3.8 Performing Subqueries
3.9 Common Table Expressions
3.10 Presenting SQL Results
4. Python Fundamentals for Data Analysts
Get hands-on with Python—the go-to language used by data analysts to conduct advanced analyses. Here’s what you’ll learn:4.1 Introduction to Programming for Data Analysts
4.2 Jupyter Fundamentals & Python Data Types
4.3 Introduction to Pandas
4.4 Data Wrangling & Subsetting
4.5 Data Consistency Checks4.6 Combining & Exporting Data
4.7 Deriving New Variables
4.8 Grouping Data & Aggregating Variables
4.9 Intro to Data Visualization with Python
4.10 Coding Etiquette & Excel Reporting
5. Data Ethics & Applied Analytics
Learn how to identify and address data bias, data privacy, and data security. You’ll also explore big data analysis, machine learning, and data mining.5.1 Intro to Big Data
5.2 Data Ethics: Data Bias
5.3 Data Ethics: Security & Privacy
5.4 Intro to Data Mining5.5 Intro to Predictive Analysis
5.6 Time Series Analysis & Forecasting
5.7 Using GitHub as an Analyst
5.8 Preparing a Data Analytics Portfolio
6. Advanced Analytics & Dashboard Design
Complete an analysis project using data of your choosing, and build on your advanced analytics skills by taking a dive into machine learning and regression analysis.6.1 Sourcing Open Data
6.2 Exploring Relationships
6.3 Geographical Visualizations with Python
6.4 Supervised Machine Learning: Regression6.5 Unsupervised Machine Learning: Clustering
6.6 Sourcing & Analyzing Time Series Data
6.7 Creating Data Dashboards
Data Specialization
To further develop your expertise, you will learn about Data Visualizations with Python.
Data Visualizations with Python
Achievement 1: Network Visualizations and Natural Language Processing with Python1.1 Intro to Freelance and Python Tools
1.2 Setting Up the Python Workspace
1.3 Virtual Environment in Python
1.4 Accessing Web Data with Data Scraping1.5 Text Mining
1.6 Intro to NLP and Network Analysis
1.7 Creating Network Visualizations
Achievement 2: Dashboards with Python2.1 Tools for Creating Dashboards
2.2 Project Planning and Sourcing Web Data with an API
2.3 Fundamentals of Visualization Libraries Part 1
2.4 Fundamentals of Visualization Libraries Part 22.5 Advanced Geospatial Plotting
2.6 Creating a Python Dashboard
2.7 Refining and Presenting a Dashboard
Job Preparation Course
Create a career plan with your personal career specialist. From CV creation through to job preparation, you will learn the skills to launch a career that lasts.
1. Pair up with a Career Specialist in your area
2. Design your online presence
3. Create a winning resume (CV) showcasing your new skills and marketing your transferable ones
4. Showcase your work in a winning portfolio
5. Discover new corridors for finding job opportunities
6. Find perfect-fit positions
7. Create a cover letter that will get you noticed
8. Prepare for job interviews with expert support
Studying at CareerFoundry
Transform Your Career with Our Internationally-Recognized Tech Bootcamp
Work in partnership with industry experts
Your mentor, a senior in the field, guides your career; while your tutor offers assignment feedback within 24 hours.
Break into tech with the skills of in-demand professions
Learn the essential skills of Data Analytics in our innovative project-based curriculum, that takes you through theory and into immersive tasks. Put everything you learn to immediate practical use through hands-on projects you’ll build your extensive portfolio around.
100% online learning
Work to your own timetable—not rigid class calendars. No need to quit your job or put life on hold, since you decide when and where you learn.
Learn to use AI and the tools of the future
Learn how generative AI can help you become more effective in your work, while also learning how to use AI tools critically and ethically. Our cutting-edge curriculum will help you launch a career that lasts.
Want to know if data analytics is right for you?
Find out with a free 5-day short course
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I don't have a Bildungsgutschein
Schedule an appointment with the Agentur für Arbeit
Search for your local Agentur für Arbeit (the Jobcenter in Germany) and book an appointment. Download our application guide which covers everything you need to prepare for your appointment and convince your advisor to approve your participation in the program.
Application guide (English) Request your personal proposal from CareerFoundry
We’ll send you a personalized proposal with the CareerFoundry program details. You’ll need this document for your appointment at the Agentur für Arbeit.
I already have a Bildungsgutschein
Enroll in the CareerFoundry program
The Agentur für Arbeit has issued you a Bildungsgutschein—congratulations! Now you can begin the enrollment process.
It takes 10-14 days to complete the enrolment process, so please bear this in mind when choosing your program start date.
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