PwC's Academy

Learn to apply Data Science tools hands-on on their computer with the aim of gaining confidence in applying them in their organisations

Introduction to Data Science

Data Science is a concept that encompasses data acquisition and analysis,statistics, machine learning and related fields in order to comprehend and use patterns in structured and unstructured data. It is the most importantfoundation for Artificial Intelligence and all associated disciplines.
Data Scientists are required to be business savvy in order to be able totranslate organisational needs into data analytics tasks and consequentially to convert data analytical results into the business context. They must be open for dealing with mathematics and statistics. It helps if they have some basic understanding of programming so as to be capable to automate the data processing cycle.

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Course Structure

Session One

? Introduction into Data Science, Machine Learning, Artificial Intelligence
? Analytics Concepts Every Manager Should Understand
? Competencies a Data Scientist Should Acquire
? Overview of a Typical Data Science Project
? Foundation: Types of Data, Measures for Different Data Types
? Gauss’ Distribution and its Meaning for Data Analytics
? Descriptive Statistics and their Meaning for the Business
? Predictive Statistics and their Meaning for the Business
? Graphical Analysis and its Tools

Session Two

? Statistical Analysis and its Tools
? The Danger of Sampling – Means are Lies
? Introduction to a Typical Data Science Project
? Business Case for the Data Science Project
? Data Acquisition for the Data Science Project

Session Three

? Data Acquisition for the Data Science Project
? Data Preparation for the Data Science Project
? Data Analysis for the Data Science Project
? Business Decision for the Data Science Project
? Share, Summarise and Reflect Learnings


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T: 0117719874


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