In this Data Science course you will learn...
What the different types of data are
Key concepts of Data Science
The difference between Data Science and Google Analytics
Examples of Data Science
How Data Science can create value in marketing
How to use Data Science to increase e-commerce revenue
How to extract value using the Data Science Value Generator
The tasklist of a Data Scientist
Examples of real data
The Abandoned Cart Model and how to battle it
How to prepare data
How to model data
6 steps to infuse Data Science in Growth Marking
Course Overview
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Introduction
(3:34)
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Lesson 1: Key concepts
(3:34)
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Lesson 2: What is data science?
(3:57)
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Lesson 3: A use case
(6:13)
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Lesson 4: How to start pt1
(3:26)
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Lesson 4.1: How to start pt2
(3:01)
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Lesson 4.2: How to start pt3
(4:37)
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Lesson 5: The 6 step approach
(3:09)
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Lesson 6: 4 key messages
(1:05)
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Quiz
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Extra: Q&A
(7:00)
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Slides
Instructor Data Science
Frank Cornelis, Data Science Lead @ Upthrust.eu
Frank discovered data science 15 years ago, and ever since he is fascinated about it. He worked in every part of the value chain, organizing the data, making statistical models, and applying them in large organizations. Today even small companies that operate digitally amass vast amounts of data. So many opportunities. We live in fascinating times!
These Companies Accelerated Their Growth By Joining Our Trainings:
