Practical application of AI in business data analysis using Python and Power BI
Szkolenie wprowadza uczestników w praktyczne wykorzystanie sztucznej inteligencji do analizy danych biznesowych. Program łączy teorię uczenia maszynowego z hands-on experience w Python oraz Power BI. Uczestnicy nauczą się budować modele AI, interpretować wyniki oraz tworzyć interaktywne raporty i dashboardy. Zajęcia prowadzone są w formie warsztatów z praktycznymi ćwiczeniami na rzeczywistych danych biznesowych.
Issues
- Artificial intelligence in business analytics
- Machine learning and its practical applications
- Python for data analysts
- Pandas, NumPy and Scikit-learn libraries
- Predictive and classification models
- Python integration with Power BI
- AI-powered analytics in Power BI
- Data storytelling and visualization insights
- Interpretation of the results of ML models
- Automation of analytical processes
- Ethics in using AI for business analytics
- MLOps and lifecycle machine learning models
Benefits
- They will master the ability to build and train basic machine learning models in the Python environment
- They will gain practical competence in preparing and transforming data for AI analysis
- They will learn to integrate AI analysis results with Power BI to create interactive reports
- They will be able to use the built-in AI functions available in Power BI for advanced analysis
- They will develop skills to interpret the results of AI models and translate them into specific business recommendations
- They will get hands-on experience in communicating insights from AI analyses to different audiences
- They will gain knowledge of best practices in implementing AI solutions in a business context
- They will be prepared to independently conduct analytical projects using AI
Who is this training for?
Prerequisites
- Basic knowledge of Python or other programming language
- Experience working with data and analytical tools
- Knowledge of Power BI at a basic or intermediate level
- Basic concepts in statistics and data analysis
- Ability to think logically and solve problems
Training program
Key concepts of artificial intelligence
- Applications of machine learning in business
- Overview of use cases in various industries
- Benefits and limitations of AI-driven approach
- Data preparation using Python
- Pandas and NumPy libraries in practice
- Data cleaning and transformation
- Handling data gaps and outliers
Exploratory Data Analysis (EDA)
- Building machine learning models
- Introduction to the Scikit-learn library
- Linear and logistic regression
- Decision trees and random forest
- Data classification and clustering
- Python integration with Power BI
- Importing AI analysis results into Power BI
- Create interactive visualizations
Building dynamic dashboards
- Reporting automation
- Embedded AI features in Power BI
- Q&A and Natural Language Processing
- Predictive analytics in Power BI
- Decomposition Tree and Key Influencers
- AI Insights and anomaly detection
- Interpretation of results and decision-making
- Communicating the conclusions of AI analyses
Storytelling using data
- Support for decision-making processes
- Building confidence in AI models
Industry case studies
- Marketing data analysis
- Sales prediction and demand forecasting
Financial risk analysis
- Optimization of operational processes
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
What are the prerequisites for this training?
For Practical application of AI in business data analysis using Python and Power BI we recommend: Basic knowledge of Python or other programming language; Experience working with data and analytical tools; Knowledge of Power BI at a basic or intermediate level.
What is the format and duration of this training?
The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: Business analysts interested in AI; Business Intelligence Specialists; Data analysts at intermediate level.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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