Explainable Artificial Intelligence (XAI) Concepts
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
In this course, youll learn the basics of relational databases and how to interact with them.
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Create interactive data visualizations in Python using Plotly.
Learn to perform linear and logistic regression with multiple explanatory variables.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
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 tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Using Python and NumPy, learn the most fundamental financial concepts.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Visualize seasonality, trends and other patterns in your time series data.
Analyze text data in R using the tidy framework.
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!