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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?

Business analysts interested in AI
Business Intelligence Specialists
Data analysts at intermediate level
Analytical consultants
Managers responsible for insights and reporting
Strategic planning specialists
People who work with data in marketing, sales and finance departments
Programmers interested in business data analysis

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

01

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
02

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
03

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
04

Storytelling using data

  • Support for decision-making processes
  • Building confidence in AI models
05

Industry case studies

  • Marketing data analysis
  • Sales prediction and demand forecasting
06

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.

Monika Fengler
Monika Fengler Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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