- Basic understanding of computer systems and software.
- Familiarity with common operating systems and office applications.
- Master database fundamentals, including normalization and design strategies.
- Explore advanced database administration, focusing on performance, security, and maintenance.
- Fundamentals of database management.
- SQL (Structured Query Language) for data retrieval and manipulation.
- Database design and normalization.
- Dive into Transact-SQL, learning how to write robust, efficient queries and stored procedures.
- Learn to effectively integrate and transform data from diverse sources.
- Data integration and ETL processes.
- Building data pipelines.
- Data cleansing and transformation.
- Develop skills in creating, managing, and deploying complex reports.
- Report design and layout.
- Connecting to data sources
- Generating and publishing reports.
- Specialize in data modeling and analytical processing techniques.
- Introduction to multidimensional and tabular models.
- Cube design and development.
- Implementing data mining.
- Concepts of data warehousing.
- ETL (Extract, Transform, Load) processes.
- Data modeling for data warehousing.
- Transform data into strategic insights for informed decision-making.
- Understanding the role of BI in decision-making.
- Tools and technologies for BI.
- Dashboard design and data visualization.
- Create interactive and visually appealing reports and dashboards.
- Introduction to Power BI for data analysis and reporting.
- Creating interactive dashboards.
- Data transformation and modeling in Power BI.