Data Science
Showing 1105–1116 of 1577 results
Merging Data Sources with R 3
Learn how to merge data with R. How do you merge values into vectors? How do you merge vectors into data frames? How do you join data frames? See how to use base R and dplyr to do left, right, and full outer joins with plenty of examples.
Merging Predictive and Prescriptive Analytics with Data Literacy
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy.
MichiganX: Data Science Ethics
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.
MichiganX: Python Data Structures
The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.
Microsoft ACCESS Database Hands_on Training with Exercises
Build Efficient MS Access Databases, Streamline Tasks, and Make Informed Decisions using Microsoft Access with Exercises
Microsoft Access Masterclass
This Free Online Course Includes: 5-6 Hours of Learning CPD Accreditation Final Assessment
Microsoft Azure Data Fundamentals: Explore core data concepts
Data is the foundation on which all software is built. By learning about common data formats, workloads, roles, and services, you can prepare yourself for a career as a data professional. This learning path helps you prepare for the Azure Data Fundamentals certification.
Microsoft Azure Data Fundamentals: Explore data analytics in Azure
The phenomenal growth in data in recent years is fueling digital transformation of businesses and other organizations by empowering fast and informed decision making through data analytics. Microsoft Azure provides multiple services that you can combine to build large-scale analytics solutions that leverage the latest technologies and techniques for data ingestion, storage, modeling, and visualization. This learning path helps you prepare for the Azure Data Fundamentals certification.
Microsoft Azure Data Fundamentals: Explore non-relational data in Azure
Non-relational data is a common way for applications to store and query data without the overhead of a relational schema. In Microsoft Azure, you can use Azure Storage and Azure Cosmos DB to build highly scalable, secure data stores for non-relational data. This learning path helps you prepare for the Azure Data Fundamentals
Microsoft Azure Data Fundamentals: Explore relational data in Azure
Relational data is at the heart of most business applications, and is the foundation on which many enterprise data solutions are built. Microsoft Azure provides services for managing relational databases, enabling you to build new applications or migrate existing ones to the cloud. This learning path helps you prepare for the Azure Data Fundamentals
Microsoft Azure Machine Learning Studio
Concepts on Microsoft Azure Machine Learning Studio
Microsoft Excel Masterclass – Beginner to Advanced Level
Learn Microsoft Excel from Novice to Expert & learn the art of creating quick Reports from a Microsoft Certified Trainer