Training bag - Data analysis expert

📘 About the program This integrated program reviews the business analysis path, aiming to qualify the trainee to become an expert in dealing with data and extracting strategic insights from it. The program is based on the concept of effective training to enable participants to master modern technical and software tools. 🎯 Program objectives Introducing the trainee to the importance of data analysis, the latest analysis techniques, and their role in managing organizational data. Gaining skills in using Excel and R language and applying systematic steps to extract information accurately. Mastering data analysis and visualization using powerful tools such as Python and Power BI. Applying criteria for selecting appropriate tools and becoming proficient in using Tableau for data visualization. Understanding the strategic value of big data and employing artificial intelligence techniques in analysis. 📂 Program topics First training unit: (Importance, techniques, and types of data analysis) The return of data analysis on business growth. A comprehensive review of contemporary analysis techniques and programs. Analyzing the four types of data and how to handle them according to data science. Second training unit: (Using Excel, R language, and analysis steps) Advanced analysis skills using Excel. Statistical programming and analysis via R language. The scientific methodology and basic steps in the data analysis lifecycle. Third training unit: (Analysis via Python and Power BI) Employing Python libraries in processing big data. Data visualization techniques using Power BI. Best practices in digital knowledge management and organizing code files. Fourth training unit: (Tableau tools and financial analysis) Building interactive dashboards using Tableau. Skills in financial data analysis to support decision-making. Criteria for choosing between different analysis tools. Fifth training unit: (Big data and artificial intelligence) Strategies for dealing with big data mining. A roadmap for developing the skills of a professional data analyst. Modern artificial intelligence tools applications to accelerate analysis processes. ⏱️ Time and days ⏳ Duration: 25 training hours. 📅 Days: 5 training days ("Training day 5 hours"). 📦 Components of the training kit The kit includes comprehensive training materials such as: Presentation (PowerPoint) Trainer’s guide Trainee’s guide Introductory guide Scientific references Trainer’s instructions Trainee’s instructions Pre-assessment scale Post-assessment scale Program evaluation Visual materials (videos) Illustrative images Mind maps Introductory brochure Training kits Ready training kits Certified training kits Professional training kits Purchase training kits Download training kits Training kits for sale Training kit store Training kits prices Best training kit website Training bag