Data Science
Showing 973–984 of 1255 results
Predictive Analytics using Networked Data in R
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Predictive Analytics with SQL Server Time Series Data
Dive into predictive analytics with SQL Server. This course will teach you to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.
Predictive Data Analysis with Python
Learn predictive data analysis techniques using Python, focusing on forecasting, modeling, and data-driven decision-making strategies.
Predictive Data Analysis with Python
Dive into predictive data analysis techniques using Python, focusing on building models and making data-driven forecasts.
Prepare data for analysis with Power BI
You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.
Prepare data for tabular models in Power BI
Designing reports for enterprise scale requires more than just connecting to data. Understanding Power BI model frameworks and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.
Prepare to maintain SQL databases on Azure
Explore the role of a database administrator on Azure. Describe SQL Server-based offerings on Azure.
Preparing Data for Analytics with Power Query in Excel
data analysis
Preprocess data with Data Wrangler in Microsoft Fabric
Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
Preprocess large datasets with Azure Machine Learning
Choose GPU compute in Azure Machine Learning when training compute-intensive models. To reduce the time needed to process the data, store your data efficiently and use a data manipulation library compatible with GPU compute.
Principal Component Analysis in Python and MATLAB
This Free Online Course Includes: 1.5-3Â Hours of Learning CPD Accreditation Final Assessment
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.