Advanced Data Science: Methods, Workflows and AI Projects
Course content
Course overview
This course on “Advanced Data Science: Methods, Workflows and AI Projects” connects essential concepts to practical applications. It helps you build a structured understanding of the subject and choose an approach suited to the situations covered.
Skills and topics covered
• data science methodologies
• differences from classical statistical analysis
• structuring the modeling process
• critical result analysis and practical application
Who is this course for?
Analysts, consultants and developers with initial analytics or machine learning experience.
Prerequisites
Be comfortable with Python, pandas and modeling principles. Business context knowledge helps with case studies.
How you will learn
Move from a clear question to a structured analysis: inspect data, check quality, apply the methods and interpret results. Give reasoning and assumptions as much attention as tools. Exercises connect findings to their context.
After completing the course
You will be able to explain the methods, organize a similar analysis and present conclusions with their limitations. You will have a framework for checking data, choosing metrics and interpreting findings.
Course content
The detailed programme will be published soon.
About the author
AI Skills Academy teaching team
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Refund terms: confirm with the centre.
Totals include a base declared by the training center.