Nesse repositório serão armazenados os conteúdos de aula

Overview

Lets_Code_DS_Degree_Alunos

Nesse repositório serão armazenados os conteúdos de aula

Formato das aulas:

Notebook de aula já vem comentado para reduzir o tempo de anotação.
Finalizado um conteúdo, será dado um exercício para ser feito sozinho em cerca de três minutos. A correção desse exercício será feita com base nas respostas dos alunos.
Ao longo da aula teremos um intervalo que pode variar de 5 à 10 minutos.
Ao final de cada aula teremos exercícios que devem ser realizados em grupo. A presença em aula será dada nesse momento.
Os alunos são livres para tirar dúvidas ao longo da aula.
(?) Gravação das aulas

Avaliação feito pelo professor

1 - Avaliação por rubrica:

  • Softskills
  • Hardskills.
  • A nota de git depende de me passarem o repositório criado e dos conteúdos inseridos nele.

1.1 Exemplo - Numpy:

  • [00] Não houve participação e/ou entregas suficientes do aluno para avaliar esse critério
  • [01] O aluno ainda não tem familiaridade com o conceito
  • [02] O aluno tem familiaridade com o conceito, mas ainda tem dificuldade de aplicá-lo em problemas específicos ou de escopo aberto
  • [03] O aluno é capaz de aplicar os conceitos em problemas de escopo fechado (que trabalham especificamente esse conceito), mas ainda tem dificuldade em aplicá-lo em problemas de escopo aberto ou de forma autônoma
  • [04] O aluno é capaz de aplicar os conceitos em problemas de escopo fechado e em problemas de escopo aberto de forma autônoma

2 - Projeto em grupo a ser apresentado na penúltima aula.

Avaliação feita pelos alunos

1 - Espaço anônimo para vocês deixarem suas sugestões e\ou críticas a qualquer momento.
2 - Avaliação geral feita pela LC. O link é disponibilizado nas últimas aulas.

Ementa

Data Aula Tema Assunto
10/01/2022 1 Git Git
12/01/2022 2 Numpy Introdução ao Numpy - Criação de Matrizes - Slicing - Operações
14/01/2022 3 Pandas Introdução ao Pandas Conceitos de Dataframe e Series Criação e manipulação de DF e SS: uso de loc/iloc, parâmetro inplace Criação e operação entre colunas Filtragem de dados
17/01/2022 4 Pandas Leitura de dados (read_csv, read_excel, read_clipboard) Métodos úteis (drop, rename, sort_values, sort_index, reset_index, max, min, mean, median, sum, cumsum, quantile, describe)
19/01/2022 5 Agrupamentos e concatenação Manipulação de DataFrames (concat, merge, apply, groupby)
21/01/2022 6 Limpeza e Transformação de dados Limpeza de Dados (dropna, fillna, isnull, notnull, replace, duplicated, drop_duplicated) Transformação de Dados (cut, qcut, get_dummies)
26/01/2022 7 Revisão Exercícios de Revisão
28/01/2022 8 Projeto Mini Projeto - Pandas Apresentação dos alunos
31/01/2022 9 Avaliação Avaliação/ Avaliação por rubrica
Owner
Patricia Bongiovanni Catandi
Today I'm a Data Scientist at Escritório de Dados. An analytics group inside Rio de Janeiro's city hall.
Patricia Bongiovanni Catandi
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