Cursos de dados, IA e nuvem

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

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

In this course, students will learn to write queries that are both efficient and easy to read and understand.

In this course you will learn to fit hierarchical models with random effects.

Learn how to pull character strings apart, put them back together and use the stringr package.

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

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

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

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

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

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Learn how to approach and win competitions on Kaggle.

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

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

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

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

Learn how to set up and manage your Microsoft Fabric infrastructure.

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

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

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

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Learn to streamline your machine learning workflows with tidymodels.

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

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.