The MCSA: Machine Learning boot camp is 6 days of an intense deep dive into Microsoft Azure machine learning and Big Data with R Server and SQL R Services. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE). This boot camp program incorporates Microsoft Courses: 20773: Analyzing Big Data with Microsoft R and 20774: Perform Cloud Data Science with Azure Machine Learning. As part of this boot camp you will take two exams to test and certify for the Microsoft Certified Solutions Associate: Machine Learning official certification.
Exam 70-773 : Analyzing Big Data with Microsoft R
Exam 70-774: Perform Cloud Data Science with Azure Machine Learning
Candidates for this exam are data scientists or analysts who process and analyze data sets larger than memory using R, or scientists or analysts who use Azure cloud services to build and deploy intelligent solutions. Candidates should have experience with R, familiarity with data structures, familiarity with basic programming concepts (such as control flow and scope), and familiarity with writing and debugging R functions. Candidates have a good understanding of Azure data services and machine learning and are familiar with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation. Candidates for this exam should have experience publishing effective APIs for knowledge intelligence.
In addition to their professional experience, students who attend this Microsoft SQL Server 2016 Training Course should have:
Programming experience using R, and familiarity with common R packages
Knowledge of common statistical methods and data analysis best practices.
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
This course is subject to a minimum enrollment to run. If minimum enrollment is not met this course may run as a live instructor led class. Included is Exams and Courseware. For more information, please email: firstname.lastname@example.org or call 207-775-0244.