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Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
Learn how to develop deep learning models with Keras.
Aprende sobre los desafíos de monitorear modelos de aprendizaje automático en producción y cómo abordarlos.
Learn how to identify, analyze, remove and impute missing data in Python.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
Aprende a diseñar y ejecutar tus propias simulaciones Montecarlo utilizando Python.
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Master Amazon Redshifts SQL, data management, optimization, and security.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Discover how to use the income statement and balance sheet in Power BI
Learn to streamline your machine learning workflows with tidymodels.
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Learn survey design using common design structures followed by visualizing and analyzing survey results.
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.
Leverage the power of Python and PuLP to optimize supply chains.
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Learn how to efficiently collect and download data from any website using R.
Discover how the Pinecone vector database is revolutionizing AI application development!
