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This one-day course introduces the foundations of data analytics and knowledge discovery methods. You will start with an introduction to broad data analytics concepts and software for creating data science applications and services. This is followed by an exploration of CRISP-DM, a robust approach to planning a project. The course also covers data pre-processing and sampling techniques, such as importing libraries, checking for missing values and standardising data. The course concludes with the process of evaluating predictive modelling results.
Data and data preparation.
A classifier: decision trees and their evaluation
Businesses are embracing the power of data and technology for a multitude of areas. Course participants may include individuals and organisations looking to improve their use of big data for decision making.
Build the skills and capability required to lead business improvement projects with confidence.
Explore the legal issues around hiring and severing key personnel
Explore principles and practices for driving greater performance, improving quality and reducing costs.
Understand the accounting principles, standards and procedures that sit behind financial statements and records.
Learn tools, processes and methodologies to help you adapt to disruption and complex problems.