Cursos de ciencia de datos

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Learn how to design Power BI visualizations and reports with users in mind.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn how to efficiently collect and download data from any website using R.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn how to write recursive queries and query hierarchical data structures.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Explora el Control de Versiones de Datos para la gestión de datos en ML. Configura, automatiza y evalúa modelos.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Learn how to access financial data from local files as well as from internet sources.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.