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Data & Analytics
working with source files. The students will learn how to
interactively explore data stored in files in a data lake.
They will learn the various ingestion techniques that can
be used to load data using the Apache Spark capability
found in Azure Synapse Analytics or Azure Databricks, or
how to ingest using Azure Data Factory or Azure Synapse
pipelines. The students will also learn the various ways
they can transform the data using the same technologies
that is used to ingest data. The student will spend time
on the course learning how to monitor and analyze
the performance of analytical system so that they can
optimize the performance of data loads, or queries that
are issued against the systems. They will understand the
importance of implementing security to ensure that the
data is protected at rest or in transit. The student will then
show how the data in an analytical system can be used
to create dashboards, or build predictive models in Azure
Synapse Analytics.
MB-260T00: Microsoft Customer Data Platform
Specialty
4 Day(s) | $2380
Customer Data Platform specialists implement solutions
that provide insight into customer profiles and that
track engagement activities to help improve customer
experiences and increase customer retention. In this
course, students will learn about the Dynamics 365
Customer Insights solution, including how to unify
customer data with prebuilt connectors, predict customer
intent with rich segmentation, and maintain control of
customer data. This specialty course starts with creating a
unified profile and then working with customer data.
DP-100T01 Designing and Implementing a Data
Science Solution on Azure
4 Day(s) | $2380
The Azure Data Scientist applies their knowledge of
data science and machine learning to implementing and
running machine learning workloads on Microsoft Azure;
in particular, using Azure Machine Learning Service.
This entails planning and creating a suitable working
environment for data science workloads on Azure, running
data experiments and training predictive models, managing
and optimizing models, and deploying machine learning
models into production.
DP-300T00 Administering Microsoft Azure SQL
Solutions
4 Day(s) | $2380
This course provides students with the knowledge and
skills to administer a SQL Server database infrastructure
for cloud, on-premises and hybrid relational databases
and who work with the Microsoft PaaS relational database
offerings. Additionally, it will be of use to individuals who
develop applications that deliver content from SQL-based
relational databases.
DP-500T00: Designing and Implementing
Enterprise-Scale Analytics Solutions Using
Microsoft Azure and Microsoft Power BI
4 Day(s) | $23280
This course covers methods and practices for performing
advanced data analytics at scale. Students will build on
existing analytics experience and will learn to implement
and manage a data analytics environment, query and
transform data, implement and manage data models, and
explore and visualize data. In this course, students will use
Microsoft Purview, Azure Synapse Analytics, and Power BI
to build analytics solutions.
CompTIA Data+
5 Day(s) | $2475
CompTIA Data+ is an early-career data analytics
certification for professionals tasked with developing
and promoting data-driven business decision-making.
CompTIA Data+ gives you the confidence to bring data
analysis to life. As the importance for data analytics
grows, more job roles are required to set context and
better communicate vital business intelligence. Collecting,
analyzing, and reporting on data can drive priorities and
lead business decision-making.
Oracle 12c Administration I
5 Day(s) | $2695
In this course, students will focus on configuration on
supported systems. Also how the database fits in with
other systems.
55321 SQL Server Integration Services
5 Day(s) | $2975
SQL Server Integration Services is the Community
Courseware version of 20767CC Implementing a SQL
Data Warehouse. This five-day instructor-led course is
intended for IT professionals who need to learn how to
use SSIS to build, deploy, maintain, and secure Integration
Services projects and packages, and to use SSIS to
extract, transform, and load data to and from SQL Server.
This course is similar to the retired Course 20767-C:
Implementing a SQL Data Warehouse but focuses more on
building packages, rather than the entire data warehouse
design and implementation.