DAP 300A- Python for Data Analysis Part 1
Applied Bachelor’s Degree in Software Development
Course ID
DAP 300A
Course Credits
4
About DAP 300A- Python for Data Analysis Part 1
Data Science with Python – Part 1 is designed to introduce students to the fundamental concepts and tools of data science using Python, a powerful and versatile programming language. This course covers the essential techniques for data analysis and visualization, focusing on practical applications and hands-on experience.
Topics Covered In Course
DAP 300A Topics
- Use various types of joins to retrieve data from multiple tables; use operators IN, EXISTS, ALL, ANY
- Create new tables from existing tables
- Maintain table by changing and saving data, utilizing UPDATE, INSERT, DELETE, COMMIT, ROLLBACK and DROP TABLE
- Create and use views for data update
- Define the security context of a database and its users in MS SQL Server; Manage database users and their privileges
- Create, use and drop index
- Use integrity constraints to control data entry
- Understand benefits of using SQL in programming environment
Prerequisites
Students must have experience using a keyboard and mouse in a GUI-based OS such as Microsoft Windows or Macintosh and understand how to download and install programs found on the Internet.