This 2-day course introduces the foundational concepts of data management, equipping participants with the essential knowledge and skills to organize, process, and manage data effectively. Designed for professionals stepping into data-centric roles, the course provides hands-on experience in handling data sets, understanding key terminologies, and applying basic techniques to ensure data quality and accessibility. By the end of the course, participants will have a clear understanding of how data is stored, maintained, and utilized to support decision- making processes.
Day 1: Introduction to Data Management
Understanding Data Management
- What is data management?
- Importance of data management in organizations.
- Key roles and responsibilities in data management.
Data Types and Structures
- Overview of structured, unstructured, and semi-structured data.
- Common file formats (e.g., CSV, JSON, XML).
Fundamentals of Databases
- What is a database?
- Relational databases vs. non-relational databases.
- Introduction to tables, rows, and columns
Introduction to MS SQL
- Overview of MS SQL as a relational database.
- Creating a simple database, tables, and relationships.
- Basic SQL queries
Day 2: Practical Data Management Skills
Introduction to MongoDB
- Overview of MongoDB as a NoSQL database.
- Understanding collections and documents.
Data Organization and Cleaning
- Importance of data quality.
- Techniques for identifying and handling duplicates, errors, and missing values.
- Basics of data normalization.
Data Governance and Security
- Overview of data privacy principles.
- Introduction to data policies and compliance (e.g., GDPR).
- Importance of access control and data protection.
Hands-On Session: Working with Data
- Importing and exporting data using common tools.
- Organizing and querying simple datasets.