Hadoop

Course Overview

This three-day, instructor led course introduces participants to the fundamentals of data science and demonstrates how to use Hadoop and Spark to work with large-scale data. It covers the key concepts, tools, and workflows needed to process, analyze, and visualize data effectively. Participants will gain practical experience in handling big data, exploring patterns, and applying analytical techniques to support business decisions and insights. The course is designed for both technical and non-technical learners who want to understand and apply data science in real-world contexts. At the completion of this course, participants will be able to:

• Understand the basics of data science and its role in organizations.
• Explain how large and complex datasets are managed and analyzed.
• Describe the components and capabilities of Hadoop and Spark.
• Prepare and organize data for analysis.
• Apply analytical methods to uncover patterns and trends.
• Use visualization techniques to communicate insights effectively.
• Explore machine learning and basic predictive analytics concepts.
• Translate data findings into actionable recommendations.

Schedule

Audience

This course is intended for:

• Big Data Architects
• Data Developers
• Data Analysts

Prerequisites

Participants should have:

• Basic familiarity with computers and software applications.
• An understanding of general data concepts (tables, datasets, etc.).
• Some exposure to programming or data manipulation is helpful but not required.