627 Data Science Courses
Learn to scale data science and machine learning tasks on Big Data sets using Apache Spark, gaining practical skills to process extremely large data sets efficiently....
This hands-on project delves into Scikit-Learn for machine learning classification problems, teaching you to build, train, and evaluate classifier models efficiently....
Learn to build and train regression models using Scikit-Learn library, understand XG-Boost regression model theory, and evaluate model performance using various...
Scrape and analyze data analyst job requirements with Python
Learn how to analyze COVID-19 tweets using Python, preprocess text data, label sentiments, and visualize results. Ideal for North American learners.
In this practical project, you will learn to train models using Pycaret in Python to predict time series data, including advanced ensemble techniques.
Serverless Data Processing with Dataflow: Develop Pipelines is an in-depth course covering Apache Beam SDK, streaming data processing, stateful transformations,...
Serverless Data Processing with Dataflow: Develop Pipelines en Español is a comprehensive course that delves into the intricacies of developing data pipelines with...
Serverless Data Processing with Dataflow: Foundations is a comprehensive introduction to Apache Beam, Dataflow, and the Beam Portability framework, enabling learners...
Serverless Data Processing with Dataflow: Operations course provides training in monitoring, troubleshooting, testing, and deployment of Dataflow pipelines for maximum...
Serverless Data Processing with Dataflow: Operations en Español provides comprehensive training on operating Dataflow pipelines, covering monitoring, error reporting,...
Share Data Through the Art of Visualization: Learn to effectively visualize, present, and communicate data findings using Tableau and data storytelling techniques....
Simple Linear Regression for the Absolute Beginner is a practical, hands-on guided project to understand, build, and apply simple linear regression models using...
Learn the K-Nearest Neighbors algorithm for classification and regression through hands-on Python implementation in this 2-hour project-based course.
Simulation of Call Centre Operations Using R Simmer is a comprehensive course that teaches you how to model discrete event simulations and interpret results using...
Simulation of KANBAN Production Control Using R Simmer provides a hands-on understanding of discrete event simulation of Kanban control and data interpretation using...
Social Network Analysis is a course that delves into the science of social networks, exploring their structure, evolution, and influence. Students will learn to...
Solve Business Problems with AI and Machine Learning equips learners with essential skills to apply AI and ML to real-world business challenges, select appropriate...