In the era of technological development and various prevalent means of storing and exchanging information—specifically, the transmission of information across networks an…
In the era of technological development and various prevalent means of storing and exchanging information—specifically, the transmission of information across networks and from one location to another—it has become essential to consider and monitor information and data security. Information security is the applied science that provides significant and adequate protection of information against any risks that may threaten or damage it. This is achieved through necessary tools and means to safeguard information from both internal and external threats. All standards and measures implemented to prevent unauthorized access to information through communications are essential to ensure the correctness and authenticity of such communications. emphasizes the importance of these practices in today’s digital landscape.
Course Objectives
By the end of the course, participants will be able to:
Who should attend?
Managers and business owners.
Managers of administrative departments in companies.
Managers of information systems centers in companies.
Managers of information security and authentication departments in companies.
Developers of computer security systems in the company.
How attendees will benefit?
After completion of the course, delegates will be able to:
Enhance Business Intelligence (BI) expertise in slicing, segmenting, masking and modeling data.
Processing, integrating and using data in preparing reports and analysis processes.
Developing business intelligence models, control panels, score cards, and managing reports by linking Excel with text programs or other Excel files.
Create advanced reports based on dynamic display methods and techniques.
Course Outline
Introduction to data analysis and business management:
The concept of data analysis and its importance in business management processes.
Data types and sources in a business context.
The role of data analysis in making strategic decisions.
Basics of data analysis:
Explore data, clean it, and convert it into analyzable formats.
Apply summarization and graphical visualization techniques to understand data.
Advanced data analysis techniques:
Regression analysis and forecasting of data.
Classification and grouping techniques in data analysis.
Using machine learning and artificial intelligence techniques to analyze data.
Big Data analysis:
Analyze and process big data using special tools and techniques.
Using cloud computing technologies to manage and analyze big data.
Applications of data analysis in business administration:
Using data analysis to analyze the market and understand customer needs.
Use data analysis to improve production and supply processes.
Analyze data to improve financial performance and guide growth strategies.
Data security and privacy:
Principles of data security and privacy protection.
Challenges and risks related to data security and how to deal with them.
Case studies and practical applications:
Analyze practical case studies of data analysis applications in various industries.
Apply the tools and techniques taught during the course to a range of real problems in business administration.
Communication and reporting skills:
How to effectively present results and reports to better understand data and make strategic decisions.
Schedule & Fees
2026 Schedule & Fees
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.