CompTIA DataSys+
CompTIA DataSys+ provides a comprehensive set of resources for learning and skills validation to ensure that data management professionals have the skills needed to do the job securely, accurately and efficiently. It covers what database administrators need to deploy, manage and maintain systems, including employing the fundamentals of scripting and programming in a database environment while […]
Data Science
CompTIA Data+
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 your organization’s priorities and lead business decision-making. CompTIA Data+ validates your team members have the skills required to facilitate data-driven business decisions, including: Mining data Manipulating […]
Data Science
Introduction to Data Analytics
This course is a survey of processes and tools commonly used in applications that rely heavily on data analysis. The course will describe data pipelines deployed by data engineers and data scientists to ingest data for use in an application and to manipulate that data for use by analysts. Hands-on activities will include a combination […]
Data Science
Practical Machine Learning With Apache Spark
This intensive hands-on training introduces the audience to the core aspects of scalable data processing using Python on the Apache Spark platform. The students will learn the essentials of Python with the primary focus being on the capabilities of the Apache Spark platform and its Machine Learning module. The students will be introduced to the […]
Data Science
Data Science and Data Engineering for Architects
This course covers the theoretical and practical aspects of applying the principles and methods of Data Science and Data Engineering. Students are introduced to the relevant concepts, terminology, theory, and tools used in the field. This training course is complemented by a variety of hands-on exercises to help the attendees reinforce their theoretical knowledge of […]
Data Science
Data Engineering with PySpark
Data Engineering has become an important role in the Data Science space. For Data Analysts to do productive work, they need to have consistent datasets to analyze. A Data Engineer provides this consistency for analysts by accessing data in a variety of formats, using a variety of tools. This class will introduce programmers to tools […]
Data Science
Applied Data Science with Python
This course provides theoretical and practical aspects of using Python applied to Data Science, Business Analytics, and Data Logistics. Emphasis is on a survey of core concepts, terminology, and theory. This course is supplemented by a variety of hands-on labs that help participants reinforce their theoretical knowledge of the learned material. Duration 2 days
Data Science
Advanced Data Analytics with PySpark
This class introduces participants to the Apache Spark platform, the Spark Shell and Spark SQL for big data processing applications. In addition to the Spark platform, participants will learn fundamental tools in the pandas library and gain experience with data visualization using seaborn.
Data Science
Planning and Designing Databases on AWS
In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You […]
Data Science