This is an introductory course to help the non-technical users perform a variety of data analysis in order to derive factual insights and ultimately to gain experience in making evidence-based business decisions.
Over the course of three days, you will explore multiple statistical concepts and learn how to apply them to business use cases. You will work on cleaning and preparing the data for analysis and generating insights. You will experience the use of data visualisation to find answers to business questions. You will learn how to discover correlations in data and to build simple linear regression models. Finally, you will learn about supervised and unsupervised machine learning techniques. Here you will practice building classification trees to predict customer behavior or condition; and using cluster analysis methods to create customer groupings that would lead to more effective customer management and engagement.
All the topics taught will be delivered through a problem-based approach and active discussions that are driven by use of numerous business scenarios. Emphasis is placed on critical thinking, practice skills and practical knowledge with the use of software and tools only as delivery mechanisms.
This 3-day classroom instructor-led training course is an invaluable introduction to data analysis and forms a part of a suite of courses designed to give a thorough grounding in Data Science.This course is part of the Data Science Series and Graduate Certificate in Analytics Project Management offered