Description
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.
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