The Data Analytics and Reporting Training Program enhances your ability to analyze data and create meaningful reports. Participants will gain skills in data collection, analysis, and reporting to make strategic decisions.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
1. Introduction to Data Analytics
- What is Data Analytics?
- Types of Data and Data Sources
- The Data Analytics Process and Steps
- The Impact of Data Analysis on Business and Strategic Decisions
- Data Collection and Cleaning
2.Data Analysis and Interpretation
- Basic Statistical Analysis Methods
- Data Visualization Techniques
- Trends, Correlations, and Significant Findings
- Advanced Data Analysis Techniques: Regression, Classification, and Clustering
3. 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
4. Data Reporting: Key Principles
- Effective Reporting and Presentation Techniques
- Structure and Content of Data Reports
- Preparing Reports for the Target Audience
- Clean and Clear Visualizations in Reports
- Dynamic and Interactive Reports
5. Interactive Dashboards and Reports
- Data Updates and Real-Time Reporting
- Visual Elements: Graphs, Diagrams, and Maps
- Interactive Report Design with Power BI and Tableau
6. 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: Reducing Risk Using Data
- Data Analysis with KPIs and Performance Indicators
7. Data Security and Ethics
- Data Security and Privacy Principles
- GDPR and Data Protection Regulations
- Ethical Data Analytics and Legal Restrictions
- Avoiding Data Manipulation and Fraudulent Results
8. Data Analytics Projects and Applications
- Practical Exercises with Real-Life Scenarios
- Project Development and Reporting with Data Sets
- Tips and Best Practices for Success in Data Analysis
- Project Presentations and Sharing
The training is open to corporate collaboration, and individual applications are not accepted. The training content can be restructured according to the corporate participant profile and specific needs. After mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the related processes will be completed. If an agreement is reached, the suitable dates and times for your organization's participants and instructors will be coordinated, along with the location where the training will take place.