Cursos de ciencia de datos

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

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

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

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

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

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

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.

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.

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

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

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

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

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

Learn to build pipelines that stand the test of time.

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

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

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

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.

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

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

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

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

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

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

Explore HR data analysis in Tableau with this case study.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.