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Introduction to Redshift
- IntermedioLivello di competenza
- 4.5+
- 259
Master Amazon Redshifts SQL, data management, optimization, and security.
Data Engineering
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Master Amazon Redshifts SQL, data management, optimization, and security.
Data Engineering
Corso
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Probabilità e Statistica
Corso
Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.
Cloud
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Learn how to use Python to analyze customer churn and build a model to predict it.
Analisi esplorativa dei dati
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Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Finanza applicata
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Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Sviluppo di software
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Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
Intelligenza artificiale
Corso
Learn how to visualize time series in R, then practice with a stock-picking case study.
Data Visualization
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Learn how to develop deep learning models with Keras.
Intelligenza artificiale
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Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Probabilità e Statistica
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Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Probabilità e Statistica
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Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Finanza applicata
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Learn efficient techniques in pandas to optimize your Python code.
Sviluppo di software
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Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Intelligenza artificiale
Corso
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
Sviluppo di software
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Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Analisi esplorativa dei dati
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In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Finanza applicata
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Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Finanza applicata
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Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Data Preparation
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Learn to use the Census API to work with demographic and socioeconomic data.
Analisi esplorativa dei dati
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From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Machine Learning
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Learn how to pull character strings apart, put them back together and use the stringr package.
Sviluppo di software
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Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.
Intelligenza artificiale
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Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Intelligenza artificiale
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In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Data manipulation
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Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Data manipulation
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Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Sviluppo di software
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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.
Data Visualization
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Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Machine Learning
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Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
Data manipulation