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Introduction to Product Analysis with Python

2 horas

14 capítulos

In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

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GitHub Fundamentals

3 horas

21 capítulos

Explore the essentials of GitHub starting from understanding what GitHub is and creating your own repositories, to managing remote branches and syncing changes. Dive into more advanced workflows including pulling, pushing, and rebasing changes, and master the commands needed to efficiently collaborate with your team.

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Exploratory Data Analysis of Nobel Prizes

1 hora

6 capítulos

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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Primeros Pasos con Pandas

4 horas

34 capítulos

Pandas es una biblioteca extremadamente fácil de usar para el análisis de datos. También está diseñada para manejar grandes conjuntos de datos, utilizando estructuras de datos como DataFrame y Series. Esto la convierte en una herramienta inestimable para la Ciencia de Datos. En esta guía, se familiarizará con una serie de funciones estadísticas, incluyendo cómo encontrar correlaciones, modos, medianas y valores máximos y mínimos dentro de un conjunto de datos. También aprenderá a manejar los valores que faltan y a manipular valores específicos, así como a eliminarlos.

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SQL Intermedio

3 horas

25 capítulos

Este curso es para ti si ya tienes conocimientos básicos de SQL, pero quieres aprender cosas más avanzadas para crear consultas más potentes. En el curso, se familiarizará con la agrupación de datos, el filtrado de datos agrupados. También aprenderá a trabajar con varias tablas de la base de datos al mismo tiempo, combinándolas. Conozca los diferentes tipos de uniones de tablas, aprenda a utilizarlas en la práctica.

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Text Summarization with TF-ISF

2 horas

12 capítulos

In this project, we aim to design and implement a text summarizer utilizing the Python programming language as our foundational tool. To achieve this, we will be leveraging the powerful Natural Language Toolkit which is instrumental in the processing and analysis of textual data.

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NumPy in a Nutshell

3 horas

21 capítulos

NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.

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Natural Language Handling

1 hora

11 capítulos

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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Business Analysis Fundamentals

2 horas

18 capítulos

Navigating the intricacies of Business Analysis is a transformative journey that unveils the dynamic intersection of strategy, technology, and organizational objectives. Delve into the heart of this discipline, where professionals craft solutions, facilitate change and bridge the gap between business needs and IT capabilities.

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Ultimate NumPy

4 horas

28 capítulos

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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Advanced Techniques in pandas

4 horas

33 capítulos

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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Python Loops Tutorial

2 horas

22 capítulos

Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition checking time. Today we start learning these loops. Welcome to Python Loops Tutorial!

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