Certified Business Data Analyst

Code of the bag: COMSDS12525024 Comprehensive training bag in the certified business data analyst aimed at providing trainees with the knowledge and practical skills necessary to work in the field of data analysis, information extraction, and data-driven decision-making. During the program, the trainee will learn the importance of data analysis, modern techniques, and the use of popular analysis tools such as Excel, R, Python, Power BI, and Tableau, in addition to big data applications and artificial intelligence in business analysis. Program details Certified Business Data Analyst Program duration: 5 training days Training hours: 25 hours Target audience: New data analysts Students and graduates Those wishing to make a professional shift to data analysis Professionals in business and technology fields Data analysis professionals seeking to develop their skills Program objectives Understand the importance of data analysis and modern analysis techniques. Learn the types of data analysis and their various uses. Acquire data analysis skills using Excel and R. Apply data analysis using Python and Power BI. Learn how to choose the appropriate data analysis tools for different projects. Use Tableau to visualize data and create interactive dashboards. Understand big data analysis and artificial intelligence tools for data analysts. Develop the professional skills required in the data analysis job market. Training module topics Unit 1: Importance, techniques, and types of data analysis Importance of data analysis for businesses and organizations. Data analysis techniques and software. The four types of data analysis. Unit 2: Using Excel, R language, and data analysis steps Data analysis using Excel. Data analysis using R language. Basic steps for data analysis. Unit 3: Data analysis using Python and Power BI Data analysis using Python. Data visualization with Power BI. Data management and organization. Unit 4: Choosing data analysis tools and using Tableau Data analysis with Tableau. Financial data analysis. Selecting suitable data analysis tools. Unit 5: Big data analysis and artificial intelligence tools Big data analysis. Developing data analyst skills. Using artificial intelligence tools in data analysis. Training bag contents Presentation (PowerPoint): 160 slides. Trainer's guide: 123 pages. Trainee guide: 107 pages. Profile file. Activities and practical applications bag. Mind maps. Educational images. Training videos. Scientific references. Trainee forms. Program brochure. Bag index and contents. Training bag model Please click here to view the training bag model.