Data Project Fundamentals: Skills and Techniques for Success

A hands-on guide to data projects from start to finish and beyond! Data profiling, modelling, unit testing and more!

Created by: Jeremy Fletcher
Data Solution Expert

What Will I Learn?

• Gain a comprehensive overview of the skills, thought processes and complexities that accompany a data-related task or project
• Discover the benefits of data profiling and unit testing
• Learn the techniques, challenges and approaches undertaken in each of the logical stages of a data project
• Learn the fundamentals of Structured Query Language with easy-to-follow examples and exercises
• Learn how applying the techniques in each phase of a data project leads to more robust, successful and maintainable solutions!
• Work with the course data using Jupyter Notebooks to back up the course concepts
• Appreciate the fundamentals of data modelling including Dimensional Modelling and Entity Relationship Diagrams

Requirements

• An understanding of 2-dimensional data structures and basic programming constructs, ideally some python, but this isn't essential
• A willingness to challenge existing thought processes and ways of working!

Target audience

• Professionals in the early stages of a data career as a data engineer, data scientist or data analyst
• Business leaders, business analysts and project managers looking for a fuller, more rounded appreciation of data projects
• Software Engineers looking to gain an end-to-end overview of the life-cycle of a data project