Excel on steroids: Discover the magic of AI in data analysis!
\Excel on Steroids: Discover the magic of AI in data analysis!\ is an innovative training course that combines traditional Excel skills with the powerful capabilities of artificial intelligence. In the digital age, where data is a key resource, the ability to analyze it effectively is becoming essential. Our training opens the door to the fascinating world of AI, demonstrating how advanced algorithms can revolutionize everyday work with spreadsheets.
Issues
During the training course “Excel on steroids: Discover the magic of AI in data analysis!” we will discuss a number of key issues at the intersection of data analysis and artificial intelligence:
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Introduction to AI in the context of data analysis
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Definition and types of artificial intelligence
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Applications of AI in business and analytics
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Ethical aspects of using AI in data analysis
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Preparing data for analysis using AI
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Data cleaning and normalization techniques
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Identifying and handling missing values
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Transforming data into a format that AI algorithms can understand
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Basic AI models in data analysis
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AI-assisted linear and logistic regression
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Decision trees and random forests
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Data clustering and segmentation using AI algorithms
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Advanced AI techniques in Excel
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Integrating Excel with machine learning tools
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Automating analytical processes using AI
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Prediction and forecasting using AI models
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AI-supported data visualization
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Automatic generation of charts and dashboards
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Interactive data visualizations
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Storytelling with data using AI
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Practical applications of AI in various industries
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Case studies from finance, marketing, HR and other sectors
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Sentiment analysis and natural language processing
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Anomaly and fraud detection using AI
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Tools and platforms for data analysis with AI
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Overview of available solutions (e.g. Azure ML, Google Cloud AI)
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Integration of AI tools with Excel
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Comparison of the effectiveness of different platforms.
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The future of data analytics and AI
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Trends in the development of AI for business analytics
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Potential risks and challenges of AI in data analytics
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Preparing for upcoming changes in the industry
Each of these issues will be discussed from both the theoretical and practical sides, with an emphasis on real-world applications in the daily work of a data analyst.
Benefits
- Increased work efficiency: You will learn techniques that will allow you to perform data analysis much faster and more accurately.
- Competitiveness in the job market: You will gain AI skills that are increasingly in demand by employers.
- Innovative approaches to problems: You will learn to look at data from a new perspective, discovering non-obvious patterns and relationships.
- Time savings: You will learn tools to automate tedious analytical tasks, allowing you to focus on the strategic aspects of your work.
- Better business decisions: With advanced data analysis techniques, you will deliver more accurate and valuable insights for your organization.
- Networking: You'll meet other professionals interested in AI and data analysis, which can open up new opportunities for collaboration.
- Practical skills: All of the techniques presented are immediately applicable to everyday work, providing a quick return on your training investment.
- Inspiration for further development: The training can be the beginning of a fascinating journey into the world of data science and AI, opening up new career paths.
Who is this training for?
Prerequisites
- Basic knowledge of Excel: Ability to create formulas, use functions and create simple charts.
- Own laptop with Microsoft Office (including Excel) version not older than 2016 installed.
- Internet access: Some exercises will require an online connection.
- Basic knowledge of data structures: Understanding of concepts such as tables, rows, columns.
- Openness to new technologies and willingness to learn: The most important thing is enthusiasm and willingness to explore new areas!
Training program
What is AI and how can it help you work with data?
- Learn the tools that will make your Excel a superpower
- See how AI is changing the way you work with data
Your data in a new light
- How to prepare your data so AI can 'understand' it
- Discover hidden treasures in your data
- Create visualizations that tell the story of your data
- AI in action: See how the magic works
- Learn about AI models that predict the future (based on data!)
- Real-life examples: how companies are using AI to analyze data
- Try it for yourself: simple exercises using AI
Dive Deeper: Advanced Tricks
- What is Deep Learning and why is it so cool
- Learn free tools that will make you feel like a data scientist
- Success Stories: how others have used AI to analyze data
Summary and your questions
- A quick reminder of the most important points
- Time for your questions - none are too easy or too difficult!
- You will be given a packet of materials to continue studying at home
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 Excel on steroids: Discover the magic of AI in data analysis! we recommend: Basic knowledge of Excel: Ability to create formulas, use functions and create simple charts.; Own laptop with Microsoft Office (including Excel) version not older than 2016 installed.; Internet access: Some exercises will require an online connection..
What is the format and duration of this training?
The training lasts 1 day 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: He regularly uses Excel in his work and strives to increase his efficiency.; He shows interest in modern technologies and wants to learn about practical applications of AI.; He works with data, but is not necessarily an expert in data analysis or programming..
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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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