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It's your career, think big


Designing systems that capture, process, and analyze data is critical for companies in order to have a competitive advantage. This curriculum takes students from their first select statement to orchestrating big data workflows in the cloud.

Microsoft Professional Program for Big Data


Learn how to build big data solutions for batch and real-time stream processing using Azure managed services and open source systems like Hadoop and Spark. This curriculum will teach you the skills required to capture, process, and analyse data for today’s data-driven world.

10
REQUIRED COURSES
12 - 30
HOURS PER COURSE
8
SKILLS

Technologies you will use to gain your skills

Azure Data Lake
Hadoop
HDInsight
Spark
Azure Data Factory
Azure Stream Analytics

Track detail

Each course runs for three months and starts at the beginning of a quarter. January—March, April—June, July—September, and October —December. The capstone runs for four weeks at the beginning of each quarter: January, April, July, October. For exact dates for the current course run, please refer to the course detail page on edX.org.

* Courses can be taken during any course run and in any order. When multiple course options are listed for a skill, only one must be completed to satisfy the requirements for graduation.

Introduction to Big Data

Provided by Microsoft

Get started with the Microsoft Professional Program for Big Data by learning how the program works, and getting up to speed with some basic data fundamentals.

Option 1
Analyzing and Visualizing Data with Power BI

Provided by Microsoft

Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users on the web and on mobile devices.

Option 2
Analyzing and Visualizing Data with Excel

Provided by Microsoft

Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.

Introduction to NoSQL Data Solutions

Provided by Microsoft

Learn the fundamentals of NoSQL and explore several non-relational data storage options in Microsoft Azure.

Querying Data with Transact-SQL

Provided by Microsoft

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.

Delivering a Data Warehouse in the Cloud

Provided by Microsoft

Learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse.

Option 1
Processing Big Data with Azure Data Lake Analytics

Provided by Microsoft

Learn how to use Azure Data Lake technologies to store and process big data in the cloud.

Option 2
Processing Big Data with Hadoop in Azure HDInsight

Provided by Microsoft

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

Orchestrating Big Data with Azure Data Factory

Provided by Microsoft

Learn how to use Microsoft Azure Data Factory to orchestrate big data workflows in the cloud.

Option 1
Developing Big Data Solutions with Azure Machine Learning

Provided by Microsoft

Learn how to build predictive web services for Big Data workflows using Azure Machine Learning.

Option 2
Analyzing Big Data with Microsoft R

Provided by Microsoft

Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.

Option 3
Implementing Predictive Analytics with Spark in Azure HDInsight

Provided by Microsoft

Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.