What is Data Analytics?
Manipulating Data to discover new and meaningful patterns that can inform better decision-making
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information. The kinds of insights you get from your data depends on the type of analysis performed. In data analytics and data science, there are four main types of analysis: Descriptive, Diagnostic, Predictive, and Prescriptive.
Data analysis is important in business to understand problems facing an organisation, and to explore data in meaningful ways. Data in itself is merely facts and figures. You need someone who has the right skills to interrogate data until it yields earth-shattering insights that can transform your business performance dramatically.
SCHOOL ENROLLED
Data Analytics Skills
These scores are my honest competence rating out of 100 hours. They represent time spent learning and using the skill on past projects and my confidence using the skill on new projects.SQL
Excel
Python
Power BI
Presentation Skills
Critical Thinking
Data Visualisation
Data Cleaning
Machine Learning
Portfolio Case Studies
