This training is for professional development purposes, and the certificate received does not replace a MYK certification in mandatory MYK-authorized trainings.

Training Objective

The Data Analytics and Reporting Training Program enhances your ability to analyze data and create meaningful reports. It equips participants with skills for data collection, analysis, and reporting to support strategic decision-making.

Training Content

• Introduction to Data Analytics
• What is Data Analytics?
• Types of Data and Data Sources
• Data Analytics Process and Steps
• Impact of Data Analytics on Business and Strategic Decisions
• Data Collection and Cleaning
• Data Collection Methods: Surveys, Databases, APIs
• Data Cleaning and Preparation: Handling Missing Data, Inconsistencies, and Errors
• Data Formatting and Structuring
• Data Analysis and Interpretation
• Basic Statistical Analysis Methods
• Data Visualization Techniques
• Trends, Correlations, and Meaningful Findings
• Advanced Data Analysis Techniques: Regression, Classification, and Clustering
• Data Analytics Tools and Software
• Data Analysis with Microsoft Excel: Pivot Tables, Filtering, Charts
• Google Analytics and Web Analytics Tools
• Advanced Data Analysis with Python and R
• Data Visualization with BI Tools (Power BI, Tableau, Looker)
• Machine Learning Applications in Data Analytics
• Data Reporting: Basic Principles
• Effective Reporting and Presentation Techniques
• Structure and Content of Data Reports
• Creating Reports Suitable for the Target Audience
• Clear and Understandable Visualizations in Reports
• Dynamic and Interactive Reports
• Interactive Dashboards and Reports
• Data Updates and Real-time Reporting
• Visual Elements: Charts, Diagrams, and Maps
• Interactive Report Design with Power BI and Tableau
• Data-Driven Decision Making
• The Role of Data Analysis in Decision Support Systems
• Data-Driven Strategic Decision Making for Business Goals
• Risk Analysis and Management: Using Data to Mitigate Risks
• Data Analysis with KPIs and Performance Metrics
• Data Security and Ethics
• Data Security and Privacy Principles
• GDPR and Data Protection Regulations
• Ethical Data Analytics and Legal Constraints
• Avoiding Data Manipulation and False Results
• Data Analytics Projects and Applications
• Hands-on Projects Based on Real-Life Scenarios
• Developing Projects and Reporting with Data Sets
• Tips for Success in Data Analysis and Practical Methods
• Project Presentations and Sharing

The duration of the program is planned for 20 hours.

The training is open for institutional cooperation (package for corporations/ legal entities), and individual applications are not accepted. The training content can be restructured according to the corporate participant profile and needs. After mutual discussions, the scope and method of the training (Face-to-Face, Online) will be determined, and the relevant processes will be completed. Upon agreement, suitable dates and times for your institution's participants and instructors will be coordinated, and the training venue will be determined.