Training: Intelligent Data Analysis – Modern AI Tools in Practice
Level
IntermediateDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedTraining: Intelligent Data Analysis – Modern AI Tools in Practice
The Intelligent Data Analysis: Modern AI Tools in Practice training is an intensive two-day course that enables participants to gain practical skills in data analysis using advanced AI tools. The course combines theory with hands-on practice, focusing on real-world applications of artificial intelligence in data analysis to optimize decision-making processes and increase business efficiency.
What will you learn?
- How to prepare and explore data for analysis using AI tools
- How to automate analytical processes with artificial intelligence
- How to implement basic and advanced AI models for data analysis
- How to build interactive reports and dashboards to present AI-driven insights
Who is this training for?
Data analysts and business intelligence specialists
IT professionals and developers interested in AI and data analysis
Managers and project leaders aiming to implement AI-powered analytics in their organizations
Training Program
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Day 1: Introduction to AI and Basic Data Analysis Techniques
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Foundations of Artificial Intelligence
- Key concepts and techniques of AI
- Overview of AI tools and libraries
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Preparing Data for AI Analysis
- Data cleaning and transformation techniques
- Introduction to Exploratory Data Analysis (EDA)
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Workshop: Data Preparation and Exploration
- Hands-on exercises in cleaning and transforming datasets
- Applying EDA tools for analysis
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Basic AI Models in Data Analysis
- Implementing regression and classification models
- Evaluating and interpreting model results
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Day 2: Advanced AI Techniques and Applications in Data Analysis
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Integrating Advanced AI Models
- Implementing deep learning models
- Applying neural networks in data analysis
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Automating Analytics with AI
- Building automated analytical workflows
- Integrating AI tools with data analysis systems
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Workshop: Advanced AI Models
- Hands-on exercises with implementing and evaluating advanced models
- Case studies of real-world AI applications
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Visualizing AI Analysis Results
- Creating interactive reports and dashboards
- Using visualization tools to present AI-driven outcomes