Cursos de ciência de dados

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Use survival analysis to work with time-to-event data and predict survival time.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

In this course youll learn how to leverage statistical techniques for working with categorical data.

Adquira habilidades essenciais com Scikit-learn, SHAP e LIME para criar sistemas de IA transparentes e confiáveis.

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

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

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

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

This course is for R users who want to get up to speed with Python!

Learn to build pipelines that stand the test of time.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

In this course youll learn techniques for performing statistical inference on numerical data.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Master strategic data management for business excellence.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Explore HR data analysis in Tableau with this case study.