Foundations of Inference in R
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Plus de 3 heuresProbabilités et statistiquesJo Hardincours
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Data Management Concepts
Master the key concepts of data management, from life cycle stages to security and governance.
2-3 heuresGestion des donnéesSharon Omwegacours
Retrieval Augmented Generation (RAG) with LangChain
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Plus de 3 heuresIntelligence artificielleMeri Novacours
Linear Algebra for Data Science in R
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Plus de 3 heuresProbabilités et statistiquesEric Eagercours
Machine Learning for Finance in Python
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Plus de 3 heuresMachine learningNathan Georgecours
Introduction to Portfolio Risk Management in Python
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Plus de 3 heuresFinance appliquéeDakota Wixomcours
Deep Learning for Text with PyTorch
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Plus de 3 heuresIntelligence artificielleShubham Jaincours
Communicating with Data in the Tidyverse
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Plus de 3 heuresVisualisation des donnéesTimo Grossenbachercours
Modeling with Data in the Tidyverse
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
Plus de 3 heuresProbabilités et statistiquesAlbert Y. Kimcours
Supervised Learning in R: Regression
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Plus de 3 heuresMachine learningJohn Mountcours
Machine Learning with PySpark
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Plus de 3 heuresMachine learningAndrew Colliercours
Introduction to Microsoft Fabric
To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.
Plus de 3 heuresAutreAlex Kuntzcours
Introduction to Data Visualization with Plotly in Python
Create interactive data visualizations in Python using Plotly.
Plus de 3 heuresVisualisation des donnéesAlex Scrivencours
Data Visualization in Google Sheets
Learn the fundamentals of data visualization using Google Sheets.
Plus de 3 heuresVisualisation des donnéesRaina Hawleycours
Model Validation in Python
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Plus de 3 heuresMachine learningKasey Jonescours
Statistical Techniques in Tableau
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Plus de 3 heuresProbabilités et statistiquesMaarten Van den Broeckcours
ARIMA Models in Python
Learn about ARIMA models in Python and become an expert in time series analysis.
Plus de 3 heuresMachine learningJames Fultoncours
Building Chatbots in Python
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Plus de 3 heuresMachine learningAlan Nicholcours
Intermediate R for Finance
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Plus de 3 heuresFinance appliquéeLore Dirickcours
Bayesian Data Analysis in Python
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Plus de 3 heuresProbabilités et statistiquesMichał Oleszakcours
Sentiment Analysis in Python
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Plus de 3 heuresMachine learningVioleta Mishevacours
CI/CD for Machine Learning
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Plus de 3 heuresMachine learningRavi Bhadauriacours
AI Security and Risk Management
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
2-3 heuresIntelligence artificielleAngeline Corvagliacours
Decoding Decision Modeling
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
1-2 heuresDatalphabétisationTiago Brasilcours
Unsupervised Learning in R
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Plus de 3 heuresMachine learningHank Roarkcours
Importing and Managing Financial Data in Python
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Plus de 3 heuresFinance appliquéeStefan Jansencours
Working with Geospatial Data in Python
This course will show you how to integrate spatial data into your Python Data Science workflow.
Plus de 3 heuresManipulation des donnéesJoris Van den Bosschecours
Quantitative Risk Management in Python
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Plus de 3 heuresFinance appliquéeJamsheed Shorishcours
Intermediate Data Visualization with Seaborn
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Plus de 3 heuresVisualisation des donnéesChris Moffittcours
Improving Your Data Visualizations in Python
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Plus de 3 heuresVisualisation des donnéesNicholas Strayercours