Cursos de datos, IA y nube

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

Develop the skills you need to clean raw data and transform it into accurate insights.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn how to design and implement triggers in SQL Server using real-world examples.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

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

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

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.

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

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

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

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Mejora tus conocimientos de KNIME con el curso sobre transformación de datos, operaciones con columnas y optimización del flujo de trabajo.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

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

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

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

Learn to streamline your machine learning workflows with tidymodels.

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

Learn how to produce interactive web maps with ease using leaflet.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.