Introdução ao SQL

4 horas

41 capítulos

Iniciante

Este curso é para você se é novo em SQL, deseja aprender rapidamente como tirar o máximo proveito do SQL e quer aprender a usar SQL no desenvolvimento de suas próprias aplicações.

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SQL Intermediário

3 horas

25 capítulos

Intermediário

Este curso é para você que já possui um conhecimento básico de SQL, mas deseja aprender conceitos mais avançados para criar consultas mais poderosas. No curso, você se familiarizará com agrupamento de dados e filtragem de dados agrupados. Aprenda também a trabalhar simultaneamente com várias tabelas do banco de dados, combinando-as. Conheça os diferentes tipos de junções de tabelas e aprenda como utilizá-las na prática.

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Primeiros Passos com Pandas

4 horas

33 capítulos

Intermediário

Pandas é uma biblioteca extremamente amigável para análise de dados. Também é projetada para lidar com grandes conjuntos de dados, usando estruturas de dados como DataFrame e Series. Isso a torna uma ferramenta inestimável para Ciência de Dados. Neste guia, você se familiarizará com uma variedade de funções estatísticas, incluindo como encontrar correlações, modas, medianas e valores máximos e mínimos dentro de um conjunto de dados. Você também aprenderá a lidar com valores ausentes e manipular valores específicos, bem como como removê-los.

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Excel Formulas

1 hora

15 capítulos

Iniciante

This course is designed for beginners who want to start exploring formulas in Excel. You'll begin with the basics and then discover some really useful formulas for daily use. You'll learn about array formulas and how they work, and you'll also dive into Lookup and Reference functions.

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Conducting Exploratory Data Analysis of Nobel Prizes

1 hora

6 capítulos

Intermediário

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

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Extracting Text Meaning using TF-IDF

2 horas

12 capítulos

Intermediário

This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.

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Recognizing Handwritten Digits

2 horas

10 capítulos

Avançado

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

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Advanced Techniques in pandas

4 horas

33 capítulos

Intermediário

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

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Ultimate NumPy

3 horas

27 capítulos

Intermediário

Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.

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Introduction to Neural Networks

4 horas

25 capítulos

Avançado

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

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Identifying the Most Frequent Words in Text

1 hora

11 capítulos

Iniciante

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

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Relational Database and Normalization

1 hora

12 capítulos

Iniciante

This course delves into the theory behind relational databases. You'll learn what they are and see how they differ from non-relational databases. Throughout the course, we'll walk you through the ins and outs of database design and familiarize you with various types of relationships. Additionally, you'll explore the concepts of normalization and normal forms, equipping you with the knowledge to craft efficient and optimized databases.

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