Data Analysis & Engineering

Data Analysis and Engineering courses combine the worlds of data manipulation and analysis with the infrastructure and tools to handle it. Here's a breakdown of what you can expect to learn:

Data Analysis:

• Wrangling data: This involves techniques for collecting, cleaning, and organizing data from various sources. You'll likely learn about tools like SQL for querying databases and Python for data manipulation.
• Data exploration and visualization: You'll delve into methods for analyzing trends and patterns in data. This includes using statistical techniques and creating charts and graphs to communicate insights.

Data Engineering:

• Data warehousing and architecture: You'll explore how data is stored, organized, and accessed efficiently to support analysis. This might involve learning about cloud-based data warehouses like BigQuery.
• Data pipelines: These are the processes for moving data from various sources to a central location for analysis. You'll learn how to build and maintain these pipelines.