Data Analytics School

Discover the different job roles involved in the analytics practice, the most commonly encountered technologies in today's data ecosystem, and the concepts behind the most common types of data you will need to analyse.

• Determine how the digital transformation and disruption landscape create opportunities across the enterprise
• Identify the organisational ecosystem needed for becoming a data-driven organisation
• Analyse the life cycle of data and its implications for data-driven decision making

Discover how to analyse data and calculate fundamental aspects of your data sets and provides the core concepts and definitions of data analytics.

• Determine and classify variables
• Calculate central tendency
• Calculate measurement and variability

扩大你的工作能力与结构化和联合国structured data to drive a successful analytics practice.

• Identify opportunities, processes, and necessary data for solving analytical problems.
• Apply data profiling techniques to available data.
• Apply data cleansing techniques.

Discover fundamental techniques used for predictive analytics: regression, classification, clustering, optimisation, and simulation.

• Identify the different techniques of predictive analytics:
  • regression
  • classification
  • clustering
  • optimisation
  • simulation
• Calculate varying types of regressions using R and Excel
• Apply classification and clustering algorithms

This certificate will teach you fundamental visualisation techniques and explore a sampling of the most common reporting tools for producing meaningful visualisations.

• Formulate a data story with visualisations
• Identify key stake holder perspectives
• Determine organisational data needs

Understanding Data – Structured Data Tools

Understanding Data – Unstructured Data Tools

Measuring Distance

Classification Support Vector Machine

Classification Decision Trees