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You're reading from  The Data Analysis Workshop

Product typeBook
Published inJul 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781839211386
Edition1st Edition
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Authors (3):
Gururajan Govindan
Gururajan Govindan
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Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

Shubhangi Hora
Shubhangi Hora
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Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

Konstantin Palagachev
Konstantin Palagachev
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Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.
Read more about Konstantin Palagachev

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Introduction

In the previous chapter, we looked at various techniques to do with probability theory and hypothesis testing, which are often applied in data analysis. In this chapter, we will extend our knowledge by introducing mathematical models that are suitable for both data analysis and predictions. In this way, we will obtain the fundamental tools for deriving explanatory models and provide a generic framework for identifying causalities and effects when performing data analysis.

Direct marketing campaigns are a classical approach to increasing business revenue, informing potential customers about new products, and merchandising them. Having targeted marketing campaigns can significantly increase success rates and revenue since the audience is based on precise criteria and the analysis of past marketing campaigns. Thus, extracting information about successful campaigns and customers can significantly reduce marketing costs and increase sales.

In this chapter, we will analyze...

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The Data Analysis Workshop
Published in: Jul 2020Publisher: PacktISBN-13: 9781839211386

Authors (3)

author image
Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

author image
Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

author image
Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.
Read more about Konstantin Palagachev