Tipos de datos para la ciencia de datos en Python
Consolida y amplía tu conocimiento de tipos de datos en Python como listas, diccionarios y tuplas para resolver problemas de Ciencia de Datos.
Siga videos cortos dirigidos por instructores expertos y luego practique lo que ha aprendido con ejercicios interactivos en su navegador.
Consolida y amplía tu conocimiento de tipos de datos en Python como listas, diccionarios y tuplas para resolver problemas de Ciencia de Datos.
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Aprende a limpiar datos rápida y precisamente para transformar datos en bruto en valiosos insights.
Create new features to improve the performance of your Machine Learning models.
Desbloquea aplicaciones avanzadas de IA, como búsqueda semántica y motores de recomendación, con el modelo de OpenAI.
Learn to create your own Python packages to make your code easier to use and share with others.
Este curso intermedio de Power Query en Excel te lleva al siguiente nivel en la transformación de datos.
En este curso de cuatro horas, aprenderás lo básico del análisis de series temporales en Python.
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
En este curso, aprenderás sobre aprendizaje no supervisado con técnicas como clustering jerárquico y k-means usando SciPy.
En este curso aprenderás los fundamentos del aprendizaje automático para clasificación.
Aprende los fundamentos de las redes neuronales y cómo crear modelos de aprendizaje profundo con TensorFlow.
En este curso aprenderás los detalles de clasificadores lineales como la regresión logística y SVM.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Aprende a realizar análisis financiero en Power BI o aplica tus habilidades financieras con visualizaciones.
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Build the foundation you need to think statistically and to speak the language of your data.
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.