Beginning Data Science with Python- Pós-Laboral

Duração:

9 dias- (2,5H/dia)

Próxima Data:

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Local:

Online

Descrição

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.

O Curso será realizado em horário Pós Laboral das 19h às 21:30h, no formato Virtual Learning, Segundas, Quartas e Sextas

Este Curso é também um Pré-requisito da Data Science Foundations Academy

Destinatários

This course should be taken before any of the other Applied Data Science with Python courses.

Área: Software & DevelopmentFormação Pós Laboral
Certificação Associada: N/A

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Programa:

Module 1: Welcome

Course Overview
Installation and Setup

** Module 2: Datatypes**

Strings, integers, lists, tuples, sets, dictionaries

** Module 3: Building blocks: **

Conditionals, iterators, functions, classes, exceptions, imports, scopes, comprehensions

Module 4: Functional programming

Module 5: Object oriented programming

Module 6: Virtual environments

Module 7: Essential data science libraries

Pandas
Numpy

Module 8: Data visualization packages

Module 9: Exploratory Data Analysis (EDA) packages

Module 10: Goodbye

Course Recap
Course evaluation
Q&A

Pré-requisitos:

Basic Computer Knowledge: Familiarity with basic concepts of computing and operating systems.
Programming Logic: Having a basic understanding of programming logic will assist in grasping fundamental concepts.
Technical English: A basic understanding of technical terms in English, as many resources and documentations are available in this language.

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