ROMAN - S DATA SCIENCE. How to monetize your data.

ROMAN - S DATA SCIENCE. How to monetize your data.

Portada

Citas bibliográficas

Gestores Bibliográficos

Mendeley

Indexadores

Google

Microsoft Academic

Código QR

Número físico de documento

10371

Autores

Tipo de Material

Materia

Chapter 1. How we make Decisions describes the general principles of decision-making and how data affects decisions.

Chapter 2. Lte - s do some Data Analysis introduces general concepts: What artifacts do we deal with when analysing data? In this chapter I also start to raise some organization issues relating to data analysis.

Chapter 3. Building Analytics from scratch describes the process of building analytics, from the first tasks to the choice of technology and hiring personnel

Chapter 4. How about some analytical tasks? This chapter is all about tasks. What is a good analytical task? And how can we test it? The technical attributes of such tasks are datasets, descriptive statistics, graphs, pair analysis and technical debt.

Chapter 5. Data covers everything you ever wanted to know about data - volume, access, quality and formats.

Chapter 6. Data Warehouses explains why we need data warehouses and what kind of warehouses exist. This chapter also touches upon the popular Big Data systems Hadoop and Spark.

Chapter 7. Data Analysis Tools describes the most popular analytical methods, from Excel spreadsheets to cloud systems.

Chapter 8. Machine Learning Algorithms provides a basic introduction to machine learning.

Chapter 9. The practice of Machine Learning shares life hacks on how to study machine learning and how to work with it for it to be useful.

Chapter 10. Implementing ML in Real Life: Hypotheses and Experiments describes three types of statistical analysis of experiments (Fisher statistics, Bayesian statistics and bootstrapping) and the use of A/B tests in practice.

Chapter 11. Data Ethics. I could not ignore this topic. Our field is becoming increasingly regulated by the states. Here we will discuss the reasons why.

Chapter 12. Challenges and Startups describes the main tasks that I faced in my time in ecommerce, as well as my experience as a co-founder of Retail Rocket.

Chapter 13. Building a Career is aimed more at beginners - how to look for a job, develop as an analyst and when to move on to something new.

Descripción general

303 p. , Figures

URI

https://hdl.handle.net/20.500.14000/1070

Identificador ISBN

9798465129695

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