Introduction to Data Science and SQL Server Machine Learning
What you'll learn
- How to Implement Data Science Projects using SQL Server Machine Learning Services and Python
- How to Run R and Python Scripts from within SQL Server
- What Data Science and Data Science Lifecycle are
- What SQL Server Machine Learning Services are
- How to Install SQL Server with Machine Learning Services
- How to Start Using SSMS and Azure Data Studio
Course content
- Preview03:57
- Preview02:21
- 01:51Let’s Compare Data Science with Machine Learning and Artificial Intelligence
- 06:32Data Science Lifecycle
- 01:03Section Recap
- 4 questionsQuiz: Introduction
Requirements
- Basic SQL Server Knowledge
- Python Programming Language (not a strict requirement)
Description
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 with Python, via its Machine Learning built-in feature.
WHAT OTHER STUDENTS SAY ABOUT THE COURSE:
"Simple to the point & easy to follow"
"Excellent course"
"I enjoyed it. Thank you."
"Very informative and complete. Quite useful and thorough. Very well structured, with examples and easy to follow. Recommended."
"A great introduction to Data Science and AI, practical and to the point for busy professionals and not only!"
MORE ABOUT THE COURSE
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.
Examples where Data Science and Machine Learning are used, include: email SPAM and malware filtering, product recommendations on eCommerce websites, online fraud detection, early prediction of diseases and much more.
To this end, knowing Data Science and Machine Learning, is surely a competitive advantage in the job market, since as we evolve as a society and economy, these technologies are being used even more, for helping Business, Healthcare and many other sectors in our everyday lives.
Since all these technologies rely on large sets of data, also known as "Big Data", combining these technologies with a powerful Data Platform such as SQL Server, can further enhance the process of learning from data.
SQL Server, via its Machine Learning Services offering, helps you to easily implement Data Science and Machine Learning projects, directly against your data, either structured, or unstructured, or both.
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.
AFTER THE COURSE:
You will know what Data Science is
You will know the different stages in Lifecycle of a Data Science Project
You will know what SQL Server Machine Learning Services are
You will know how to perform a simple installation of SQL Server along with Machine Learning Services
You will know about the Python and R machine learning packages included in SQL Server Machine Learning Services
You will know how to start using SQL Server Management Studio and Azure Data Studio for working with SQL Server
You will know how to execute Python and R scripts directly from within SQL Server
You will know how to implement a simple Data Science project using Python and SQL Server Machine Learning Services
PREREQUISITES:
Basic SQL Server knowledge is good to know
Python and R knowledge is good to know but not a strict requirement
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
Who this course is for:
- Beginner Python and R Developers curious about Data Science and Machine Learning
- Database Developers and Programmers curious about Data Science and Machine Learning
- People who are interested in getting started with Data Science and Machine Learning
- People who are getting started with SQL Server Machine Learning Services
Instructor
Artemakis is a Senior SQL Server and Software Architect and a former Microsoft Data Platform MVP (awarded for 9 consecutive years). He has over 20 years of experience and he has taught thousands of people to efficiently work with SQL Server, Data Access/Entity Framework, Azure, .NET/C#, Programming and more, via his video tutorials, blog and guest articles, public speaking, eBooks and online courses.
Artemakis published hundreds of articles and videos that explain in simple words, how to perform complex technical tasks and he really enjoys the interaction with the technical communities.
Besides his regular blogging activities, Artemakis is also a guest author on many prestigious online technology journals.
Moreover, he currently serves as the President of the Cyprus .NET User Group (CDNUG) and the International .NET Association Country Leader for Cyprus (INETA).
Artemakis, really enjoys sharing hands-on knowledge on a large set of technology topics, and thus helping his fellow tech community members, to easily start using these great technologies. To this end, he is really looking forward to seeing you in his online courses on Udemy!