Cursos de ciencia de datos

In this course youll learn to use and present logistic regression models for making predictions.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Aprende a diseñar y ejecutar tus propias simulaciones Montecarlo utilizando Python.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Learn how to approach and win competitions on Kaggle.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

In this course, youll learn the basics of relational databases and how to interact with them.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn how to segment customers in Python.

Aprende y utiliza potentes algoritmos de Aprendizaje por Refuerzo Profundo, incluyendo técnicas de optimización.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Aprende sobre los desafíos de monitorear modelos de aprendizaje automático en producción y cómo abordarlos.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.