MS-MCSA-MachineLearning - MCSA: Machine Learning

Duration: 6 days

Price: $4,095.00

SATVs: 8

Earning an MCSA: Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).

This boot camp prepares you for the following exams:

*Boot camp includes lunch, exam vouchers, and exam prep material where applicable.

Upcoming Boot Camps

Jun 18-Jun 23 Live Online - EST Enroll
Jun 18-Jun 23 Live Online - PST Enroll
Jul 23-Jul 28 Dallas, TX Enroll
Jul 23-Jul 28 Live Online - CST Enroll
Jul 23-Jul 28 Live Online - PST Enroll
Aug 20-Aug 25 Live Online - EST Enroll
Aug 20-Aug 25 Live Online - PST Enroll
Oct 01-Oct 06 Dallas, TX Enroll
Oct 01-Oct 06 Live Online - CST Enroll
Oct 01-Oct 06 Live Online - PST Enroll
Oct 29-Nov 03 Atlanta, GA Enroll
Oct 29-Nov 03 Chandler, AZ Enroll
Oct 29-Nov 03 Live Online - EST Enroll
Oct 29-Nov 03 Live Online - PST Enroll
Oct 29-Nov 03 New York, NY Enroll
Dec 03-Dec 08 Chicago, IL Enroll
Dec 03-Dec 08 Dallas, TX Enroll
Dec 03-Dec 08 Fremont, CA Enroll
Dec 03-Dec 08 Live Online - CST Enroll
Dec 03-Dec 08 Live Online - PST Enroll

Course Timings: 8:00 a.m. – 6:00 p.m. M–F

This Boot Camp requires that you meet the following prerequisites:

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.

Boot Camp Outline

Explain how Microsoft R Server and Microsoft R Client work

Use R Client with R Server to explore big data held in different data stores

Visualize data by using graphs and plots

Transform and clean big data sets

Implement options for splitting analysis jobs into parallel tasks

Build and evaluate regression models generated from big data

Create, score, and deploy partitioning models generated from big data

Use R in the SQL Server and Hadoop environments

Explain machine learning, and how algorithms and languages are used

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio

Upload and explore various types of data to Azure Machine Learning

Explore and use techniques to prepare datasets ready for use with Azure Machine Learning

Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning

Explore and use regression algorithms and neural networks with Azure Machine Learning

Explore and use classification and clustering algorithms with Azure Machine Learning

Use R and Python with Azure Machine Learning, and choose when to use a particular language

Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models

Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models

Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning

Explore and use HDInsight with Azure Machine Learning

Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services

This bootcamp includes the following courses

MS-20773 - Analyzing Big Data with Microsoft R See Details
MS-20774 - Perform Cloud Data Science with Azure Machine Learning See Details