Data Science and Big Data Training

This intensive Data Science and Data Engineering training course teaches architects the theoretical and practical aspects of applying Data Science and Data Engineering methods in real-world scenarios. Students master relevant concepts, terminology, theory, and tools used in this field.  

This Data Science training teaches attendees how to define and scope their data science projects, balancing technical complexities with business requirements for stakeholders. Students learn practical techniques and strategies for identifying challenges, exploring data, creating a project plan, and executing it effectively.

This Data Science training guides students on the different roles in the data science domain. The course teaches attendees the history and evolution of data science roles and the responsibilities of each role. This course gives attendees the skills and tools required for each role and discusses the trends and future developments in data science roles.

This Python for Data Science training course is ideal for engineers, data scientists, statisticians, and other quantitative professionals looking to hone their Python programming skills. Our experienced instructors will guide you through all the basics, helping you to become a proficient Python programmer.

This Data Science and Machine Learning (ML) with Python training course teaches attendees how to extract meaning from data, empowering you to solve real-world problems, make informed decisions, and uncover hidden patterns. Through hands-on labs and practical exercises, students master essential Python libraries, explore powerful algorithms, and learn to apply real-world best practices to data science and ML.

If you’re an analyst, developer, architect, or technical manager, you will need to use Python in the fields of data science, business analytics, and data logistics. In this intensive 2-day course, we cover both theoretical and practical core concepts of Python and how it applies to these areas.

This intensive hands-on Data Engineering training course teaches the students how to apply Python to the practical aspects of data engineering and introduces the students to the popular Python libraries used in the field, including NumPy, pandas, Matplotlib, scikit-learn, and Apache Spark.

Data Engineering for Managers Training.

This training course introduces the students to the Splunk Operational Data Analytics platform.  About 70 percent of the course time is dedicated to hands-on exercises and projects that help the students gain practical experience of using Splunk in a variety of scenarios, including data onboarding and forwarding, real-time TCP port and directory monitoring, data querying and visualizations.

This is a beginner to advanced level training course on Hive.  This intensive training course encompasses lectures and hands-on labs that help students learn theoretical knowledge and gain practical experience of Hive projects.

Describe Apache HBase, get a good overview of the HBase Architecture, understand HBase Configuration, and work with HBase tables and column family data.

This intensive hands-on Data Engineering training course teaches the students how to apply Python to the practical aspects of data engineering and introduces the students to the popular Python libraries used in the field, including NumPy, pandas, Matplotlib, scikit-learn, and Apache Spark.

Leverage the Apache Spark platform's massively parallel processing capabilities using PySpark, a Python-based language supported by Spark. Along with introducing PySpark, this course covers Spark Shell to interactively explore and manipulate data. Spark SQL is introduced for a uniform programming API to work with structured data. The course ends with covering Pandas for data manipulation and analysis and data visualization with seaborn.

In this course, you will learn how to use Kafka to modernize your applications. 

Kafka is an open-source distributed event-streaming platform used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This four-day class will introduce students to Kafka’s capabilities using .NET Core, through lecture, labs, and a hands-on project the final day.

This course teaches system administrators how to manage Confluent Kafka, a powerful platform for real-time data processing. Attendees gain expertise in installing, configuring, and optimizing Kafka clusters, ensuring high-performance messaging for your microservices and cloud-native applications.

In this course, students will learn the basics of Teradata architecture with a focus on what’s important to know from an IT and Developer perspective.

In this course, students will learn SQL starting at the most basic level and going to the most advanced level with many examples.

This class teaches everything a Teradata DBA needs to know.  This class covers everything from Teradata DBA fundamentals, Teradata Architecture, and Teradata Internals.