Introduction to Data Science and SQL Server Machine Learning Services
Get the Full Course here on Udemy (with discount) - https://www.sqlnethub.com/go/course-d...
In this course for beginners, you will get started with Data Science and SQL Server Machine Learning Services. You will learn the basics of Data Science, as well as, how you can start implementing Data Science projects in SQL Server, via its Machine Learning offering.
Data Science, Big Data, Machine Learning and Artificial Intelligence, are the areas of technology that have been significantly evolved over the last few years. These technologies, are already heavily used by many organizations, in order to efficiently solve complex problems. Among other, they are used for predicting patterns based on large data sets and thus transform raw data into meaningful knowledge.
Via my course "Introduction to Data Science and SQL Server Machine Learning", you will get introduced to Data Science and SQL Server Machine Learning Services. Among other, you will learn what Data Science is and what is the Data Science Lifecycle. Moreover, you will learn about SQL Server and its Machine Learning Services offering and see live demonstrations of installing the required services for getting started, as well as of how you can run Python and R code from within SQL Server.
Then, we will talk about SQL Server's development tools, which can be used for implementing Data Science projects on the platform and finally we will perform a simple Data Science project in SQL Server, where we will create, train and score a model, for predicting values based on the data input.
This course contains/offers:
2 hours of high-quality video
Live demonstrations and hands-on guides
Useful quizzes for testing your knowledge on each section
Many downloadable resources
A practice test in the end of the course
Ability to ask the instructor questions via the Q&A section
Certificate on course completion
See you inside the course!
Get the Full Course here on Udemy - https://www.sqlnethub.com/go/course-d...
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