Cursos de ciencia de datos

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Visualize seasonality, trends and other patterns in your time series data.

Learn how to detect fraud using Python.

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

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Explore ways to work with date and time data in SQL Server for time series analysis

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

Learn to build recommendation engines in Python using machine learning techniques.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

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

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

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

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

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

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.

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

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.

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

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

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

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

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

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

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

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