LSE DS105 - Data for Data Science
π Course Brief
Focus: learn how to collect and handle so-called βreal dataβ
How: hands-on coding exercises and a gromup project
π― Learning Objectives
- Create terminal commands to effectively navigate the file system and execute programs
- Analyse and categorize various data types and identify prevalent data formats
- Use Markup Language (XML) and Markdown format proficiently for document and web page formatting
- Interpret and adhere to international standards for common data types
- Assess data quality, implement data cleaning procedures, and troubleshoot common data corruption issues
- Retrieve data from publicly available APIs
- Demonstrate comprehension of database concepts and fundamentals
- Combine and link data from disparate sources
- Utilize GitHub, based on the git version control system, for collaborative and version control purposes
- Use markdown to create reports of data analysis
- Combine a mix of markdown, HTML and CSS to maintain and customise simple websites
Even though it hasnβt been updated in a while!
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Come back mid-September to browse the course content!
Come back mid-January to browse the course content!
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