Short Description:

Learn the core APIs and foundational concepts of the platform, using PySpark, Python, and SQL to access and manipulate data. Explore essential tools like Jupyter Notebooks, Anaconda, and Apache Parquet, and empower yourself with the skills to harness the full potential of Spark for your data analysis needs

Description:

This course is designed to help understand best practices for data visualization with no prior experience. You will view examples from real world research cases and business cases from leading technology companies.

By the end of this course, you will be able to generate powerful reports and dashboards that will help your audience make decisions and take actions based on the data you present.
You will use Microsoft Excel to create high-impact visualization of common data analysis. This course culminates in a project in which you will use sample data to create visualizations, dashboards and storyboards to prepare a presentation to fictional audience.

Course Code/Duration:

BDT169 / 4 hours (1 Session)

Learning Objectives:

After this course, you will have the opportunity to develop below skills:

• Master core Apache Spark 3.x APIs and fundamental platform mechanisms.
• Utilize PySpark, Python, and SQL to access and transform data effectively.
• Gain proficiency in working with essential tools such as Jupyter Notebooks and Anaconda.
• Learn to handle data in Apache Parquet format for comprehensive data analysis capabilities.