Data Analysis & AI Training
- 16 Weeks Full-time
- 640 Teaching Units
- Online
- 100% Fundable
Practice-Oriented
Become a Data Analyst
The Labour Market Needs Data Analysts
Currently around 5,213 Data Analyst positions plus 499 Junior Data Analyst positions are advertised on StepStone.
60% of companies use the potential of their data only slightly or not at all. Demand for qualified data experts is steadily growing.
Graduates qualify for:
- Business Intelligence Analyst
- Data Analyst
- Reporting Analyst
- Junior Data Analyst
- BI Consultant
Course Modules
MODULE 01
Data Analytics Foundations, Python
- Python fundamentals for data analysis
- Pandas & NumPy introduction
- Data structures & variables
- First analyses & visualisations
MODULE 02
Statistics, Probability, Hypothesis Testing & AI-Supported Analysis
- Descriptive & inferential statistics
- Hypothesis testing
- Probability theory
- AI-supported evaluation methods
MODULE 03
EDA, Data Cleaning & Business Operations
- Exploratory data analysis
- Outlier detection
- Data cleaning & missing values
- Feature preparation
MODULE 04
SQL for Data Analysis, Reporting
- SQL fundamentals & queries
- Database reporting
- Joins, subqueries & aggregation
- Practical SQL projects
MODULE 05
Excel Analysis, Pivot Tables, KPI Evaluation & Dashboards
- Excel for data analysis
- KPI evaluations
- Pivot tables & pivot charts
- Dashboard creation
MODULE 06
Power BI, Tableau & BI Reporting
- Power BI fundamentals & DAX
- Interactive dashboards
- Tableau visualisations
- BI reporting best practices
MODULE 07
Career Preparation for Data, BI and Reporting Roles
- CV & portfolio
- Application strategies
- Networking & LinkedIn
- Interview preparation
Industries That Need Data Analysis
Finance & Controlling
Reporting, cost analysis, budget tracking and KPI evaluations.
Retail & E-Commerce
Analysis of customer behaviour, revenue trends and campaign performance.
Logistics & Supply Chain
Analysis of delivery times, inventory levels and process performance.
HR & Recruiting
Analysis of application processes, employee data and skill gaps.
Healthcare
Evaluation of process data, resource planning and quality assurance.
Marketing & Sales
Campaign analysis, lead evaluation and conversion tracking.
Learning Outcomes
After completing the programme, participants will be able to:
- Prepare and analyse data from different sources
- Present results clearly to specialist departments and management
- Create interactive dashboards with Power BI and Tableau
- Write SQL queries for data analysis and reporting
- Apply AI-supported analysis methods
- Carry out Excel-based KPI evaluations and pivot analyses
- Create data-driven decision bases
Who is this course for?
- Job seekers interested in Data Science & AI
- Career changers without IT background
- Professionals looking to re-orient their career
- Specialists wanting to specialise in AI
Admission Requirements
- Basic digital competencies
- Motivation for professional development
- German language skills at least level A2
- No programming knowledge required.
FAQ
Do I need programming knowledge?
How does the teaching work?
Can the course be funded?
What certificate do I receive?
You receive a completion certificate from Nexa Consulting GmbH documenting your competencies in Data Analysis and BI.