Fundamentals of Bayesian Data Analysis in R
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
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En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
This course is for R users who want to get up to speed with Python!
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
Learn to build recommendation engines in Python using machine learning techniques.
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Développez des modèles de deep learning avec Keras.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Learn how to segment customers in Python.
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Learn to streamline your machine learning workflows with tidymodels.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Learn efficient techniques in pandas to optimize your Python code.
Develop the skills you need to clean raw data and transform it into accurate insights.
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
Learn how to use Python to analyze customer churn and build a model to predict it.
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.