Natural Language Processing with spaCy
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
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Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Learn about ARIMA models in Python and become an expert in time series analysis.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Domina NoSQL y mejora los flujos de datos. Aprende Snowflake, Postgres JSON y Redis.
Explore ways to work with date and time data in SQL Server for time series analysis
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn the fundamentals of data visualization using Google Sheets.
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Aprende sobre la gestión del riesgo, el valor en riesgo y mucho más aplicado a la crisis financiera de 2008 utilizando Python.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Learn to perform linear and logistic regression with multiple explanatory variables.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
In this course, youll learn the basics of relational databases and how to interact with them.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Explora la ética de datos con este curso introductorio, cubriendo principios, ética de IA y habilidades prácticas.
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Learn to manipulate and analyze flexibly structured data with MongoDB.
Learn how to detect fraud using Python.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!