Microsoft Professional Program in Big Data

With data being captured and analyzed at ever increasing rates, demand for the professionals who can build big data solutions is high. Start with the fundamentals, master the most frequently used tools, and finally prove you have the skills to do the job in these courses from Microsoft, which feature industry and academic experts in big data.
Built in collaboration with leading universities and employers, the Microsoft Professional Program Certificate in Big Data will help you learn the skills you need to build big data solutions using Azure managed services and open source systems like Hadoop and Spark.
You'll Learn To:
- Analyze and Visualize Data
- Work with NoSQL Data
- Query Relational Data
- Implement a Data Warehouse
- Process Big Data at Rest
- Process Big Data in Motion
- Orchestrate Big Data Workflows
- Build Big Data Analysis Solutions

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Introduction to Big Data (edX)

Get started on your journey to building Big Data solutions. Learn what it takes to build Big Data analytics solutions. This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow [...]
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Average: 10 ( 2 votes )

Analyzing and Visualizing Data with Excel (edX)

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Analyzing and Visualizing Data with Excel (edX)
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Develop your skills with Excel, one of the common tools that data scientists depend on to gather, transform, analyze, and visualize data. Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved [...]
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Average: 7 ( 3 votes )

Querying Data with Transact-SQL (edX)

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need. Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first [...]
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Average: 3 ( 2 votes )

Analyzing Big Data with Microsoft R (edX)

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Analyzing Big Data with Microsoft R (edX)
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Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages. The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct [...]
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Average: 1 ( 2 votes )

Implementing Real-Time Analytics with Hadoop in Azure HDInsight (edX)

Learn how to use Hadoop technologies like HBase, Storm, and Apache Spark in Microsoft Azure HDInsight to create real-time analytical solutions. In this four week course, you’ll learn how to implement low-latency and streaming Big Data solutions using Hadoop technologies like HBase, Storm, and Spark on Microsoft Azure [...]
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Average: 7 ( 2 votes )

Processing Big Data with Hadoop in Azure HDInsight (edX)

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data. More and more organizations are taking on the challenge of analyzing big data. This course teaches you how to use the Hadoop technologies in Microsoft Azure HDInsight to build batch processing solutions that cleanse and [...]
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Average: 5 ( 2 votes )

Introduction to NoSQL Data Solutions (edX)

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Introduction to NoSQL Data Solutions (edX)
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Learn the fundamentals of NoSQL and explore several non-relational data storage options in Microsoft Azure. As a data pro, you know that some scenarios—particularly those involving real-time analytics, site personalization, IoT, and mobile apps—are better addressed with NoSQL storage than they are with relational databases. Azure Cosmos DB has [...]
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Average: 2 ( 1 vote )

Processing Big Data with Azure Data Lake Analytics (edX)

Learn how to use Azure Data Lake technologies to store and process big data in the cloud. Want to store and process data at scale? This data analysis course teaches you how to apply the power of the Azure cloud to big data using Azure Data Lake technologies.
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Average: 2 ( 1 vote )