PYTHON: 2 Books in 1: Python Programming & Data Science. Master Data Analysis in Less than 7 Days and Discover the Secrets of Machine Learning with Step-by-Step Exercises by Jason Callaway

Author:Jason Callaway [Callaway, Jason]
Language: eng
Format: azw3, epub
Published: 2020-08-16T16:00:00+00:00

Types of Data Analysis

Descriptive Analysis

Data science is related to information retrieval and data collection approaches with the aim of reconstituting past events to determine patterns and identify insights that help determine what happened and what made it happen. For instance, looking at sales figures by region to identify customer preferences. This section requires that you remain familiar with statistics and data visualization approaches.

Predictive Analysis

Data science is a means to determine the chances that some events are currently taking place or will occur in the future. In the following case, the data scientist considers past data to determine explanatory variables and create statistical models that can be used in other data points. For instance, trying to predict the probability that a certain credit card transaction is fraudulent in real-time. This section is usually related to the machine learning field.

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