Data Analysis Using Artificial Intelligence
Data Analysis Using Artificial Intelligence equips professionals with practical AI-powered techniques to analyze data, extract actionable insights, and build decision-support reports that improve business performance and decision-making.
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Data Analysis Using Artificial Intelligence
Duration
4 days days
Language
Arabic
Enrolled Students
1,200+
Learning Method
Online
What does the Data Analysis Using AI course cover?
- Enable participants to use AI tools for data analysis, insight extraction, and building decision-support models.
- Improve decision quality and operational efficiency in modern, data-driven work environments.
The program combines expert instruction, the 2023 SHRM Learning System, and peer interaction to deliver a comprehensive and effective learning experience.
Why Take Data Analysis Using AI Course?
Value Delivered
- Distinguish between the four types of data analysis, and the types and sources of data in business contexts.
- Apply the stages of the data lifecycle according to the CRISP-DM model, from collection and cleaning to analysis and reporting, on a case study.
- Employ AI tools (Power BI, Copilot, ChatGPT, and Colab) in data analysis and building visual reports that support decision-making.
- Apply AI-powered data analysis tools (Python, Power BI, Copilot, ChatGPT, and Colab) to real business cases and design visual reports for management.
- Evaluate ethical practices in the use of data and AI in accordance with international frameworks and Saudi regulations.
Who Should Attend?
- Professionals and students seeking to acquire basic skills in data analysis and the use of AI techniques to support decision-making, without the need for an advanced technical background.
What topics are covered in the Data Analysis Using AI course?
- The concept of data analysis (Data Analytics)
- What is meant by Business Intelligence
- The difference between traditional analysis and AI-based analysis
- The importance of AI in supporting decision-making
- Structured data (Structured)
- Unstructured (Unstructured)
- Semi-structured (Semi-Structured)
- Databases
- Excel and CSV files
- Business systems (ERP, CRM)
- Open data and social media
- Data collection (Data Collection)
- Data cleaning (Data Cleaning)
- Data processing (Data Preprocessing)
- Data analysis (Data Analysis)
- Presenting results (Visualization & Reporting)
- Machine learning (Machine Learning)
- Deep learning (Deep Learning)
- Natural language processing (NLP)
- Computer vision (Computer Vision)
- Predictive models (Predictive Models)
- Programming languages: Python – R
- Analysis libraries: Pandas – NumPy – Scikit-learn
- Data visualization tools: Power BI – Tableau – Matplotlib
- Cloud AI platforms
- Data Analysis Using COPILOT
- Data Analysis Using ChatGPT
- Data Analysis Using COLAB
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Frequently
Asked
Questions
No, advanced prior experience is not required. The program is designed for beginners and starts from the basics, with practical applications that help the trainee acquire skills during the training.
Yes, the program is suitable for professionals and students from various disciplines, and does not require advanced technical experience.
Yes, the course relies heavily on direct hands-on application, interaction, and step-by-step explanations of tool usage.
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Course Fee:
2,000
Or split into 4 payments
SAR 500/monthly
0% interest • No hidden fees
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