Data Specialist

The data specialist is a multi-disciplinary role that employs expertise to design, manipulate, analyze, sort, and export various types of information that the organization uses.

The specialist uses techniques to manage large-scale information, such as Machine Learning technology, and tools to sort and present information to different audiences. This role may also handle the management of virtualized storage platforms.

The following training programs aim to:

  • Recognize the possibilities and tools surrounding cloud data science (ML, Python, Synapse, Data Factory, etc.);
  • Learn how to work with reports and report models using Power BI;
  • Understand data classification principles and the terminology used to categorize different types of information;
  • Use virtualization techniques in classifying and automating information processing with Software-Defined Datacenter solutions paired with Azure.

Possible certifications upon completing your training include:

  • Microsoft Certified;
  • CompTIA Data+.

Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.

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Duration: 1 day / 7 hours

The SC-5007 training prepares professionals to protect identities, data, and applications in the cloud. It covers identity management, access security, and information protection. Ideal for those who wish to master Microsoft Security, it provides key skills for securing hybrid cloud environments. Gain expertise in compliance and monitoring to anticipate and manage threats.

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Duration: 1 day / 7 hours

During this training, participants will identify and describe key data concepts such as relational data, non-relational data, Big Data, and analytics, and explore the implementation of this technology with Microsoft Azure. They will delve into the roles, tasks, and responsibilities in the data world. Participants will explore relational data offerings, provisioning, and deployment of relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will investigate non-relational data offerings, provisioning, and deployment of non-relational databases, and non-relational data stores with Microsoft Azure. Participants will explore processing options available for creating data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. They will also learn about Power BI, including its building blocks and how they interact.

This course provides comprehensive preparation for the DP-900: Microsoft Azure Data Fundamentals exam, leading to the Microsoft Certified: Azure Data Fundamentals certification.

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Duration: 1 day / 7 hours

This four-day Microsoft certification training provides students with the knowledge and skills necessary to administer a SQL Server database infrastructure for cloud, on-premises, and hybrid relational databases, and to work with Microsoft’s PaaS relational database offerings. Additionally, it will be useful for those developing applications that deliver content from SQL-based relational databases.

This training is a comprehensive preparation for the DP-300: Administering Microsoft Azure SQL Solutions to earn the Microsoft Certified: Azure Database Administrator Associate.

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Price: $2975
Duration: 4 days / 28 hours

The Microsoft DP-420 course stands out as a crucial resource offering individuals the opportunity to explore the intricacies of designing and implementing data solutions on Azure. This comprehensive course is designed to equip participants with the skills needed to design robust and scalable data solutions, leveraging the power of Microsoft Azure services.

This four-day Microsoft certification training teaches developers how to create an application using the SQL API and the SDK for Azure Cosmos DB. Students will learn to write efficient queries, create indexing policies, manage and provision resources, and perform common operations using the SDK.

This training is a comprehensive preparation for the DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB exam to earn the Microsoft Certified: Azure Cosmos DB Developer Specialty.

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Price: $2995
Duration: 4 days / 28 hours

This four-day Microsoft certification training teaches students the data engineering patterns and practices for using batch and real-time analytics solutions with Azure data platform technologies.

Students will start by understanding the core compute and storage technologies used to build an analytical solution. They will then explore how to design analytical service layers and focus on data engineering considerations for working with source files. Students will learn how to interactively explore data stored in files within a data lake. They will learn various ingestion techniques that can be used to load data using the Apache Spark functionality found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. Students will also learn the different ways to transform data using the same technologies used for data ingestion. The course includes time spent learning how to monitor and analyze the performance of the analytical system to optimize data load performance or query performance. They will understand the importance of implementing security to ensure data is protected at rest or in transit. Students will then demonstrate how data from an analytical system can be used to create dashboards or build predictive models in Azure Synapse Analytics.

This training is a comprehensive preparation for the DP-203: Data Engineering on Microsoft Azure exam to earn the Microsoft Certified: Azure Data Engineer Associate certification.

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Price: $2595
Duration: 4 days / 28 hours

This Microsoft certification training explores how to leverage cloud-scale machine learning solutions using Azure Machine Learning. This course teaches you how to utilize your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and monitoring of machine learning solutions in Microsoft Azure.

This training is a comprehensive preparation for the DP-100: Designing and Implementing a Data Science Solution on Azure exam to earn the Microsoft Certified: Azure Data Scientist Associate certification.

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Price: $2595
Duration: 4 days / 28 hours

This one-day instructor-led course aims to provide learners with instruction on dedicated and serverless SQL pools and Spark pools. It also covers data wrangling and the ELT process with Synapse pipelines, a process very similar to Azure Data Factory (ADF) for moving data into the Synapse dedicated pool database.

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Duration: 1 day / 7 hours

This course teaches developers how to use the Azure Cosmos DB for NoSQL API and Software Development Kit (SDK). Students will learn about query execution, resource configuration, SDK operations, and design strategies for modeling non-relational data and data partitioning.

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Duration: 1 day / 7 hours

Unleash the power of data management and analysis with our CompTIA DataSys+ training.

In this comprehensive program, you will dive into the world of data systems and learn how to design, implement, and optimize data solutions that drive business success. Whether you are an IT professional looking to expand your skills or a data enthusiast eager to enter the field, this course will provide you with the knowledge and hands-on experience needed to excel in the dynamic world of data management. From understanding data life cycles to mastering data security and compliance, our expert instructors will guide you through fundamental concepts and practical skills essential for a successful career in data systems. Join us and become a proficient data professional, capable of harnessing the full potential of data for organizations of all sizes.

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Duration: 5 days / 35 hours

Rigorously evaluated to ensure coverage of the CompTIA Data+ (DA0-001) exam objectives, this course teaches learners the knowledge and skills necessary to transform business requirements into data-driven decisions by exploring data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the data lifecycle. Additionally, it will help prepare candidates to take the CompTIA Data+ certification exam.

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Duration: 5 days / 35 hours

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