SoftUni Data Science course

Skills acquired from the course:

• Collection and acquiring data from different sources (web crawling and scraping)
• Data tidying and cleaning, Data transformation, summarization and aggregation, organizing data and preparing for analysis
• EDA and data visualization techniques - create evidence-based research and make correct, unbiased conclusions
• Working with structured (tabular) and unstructured data (images and text)
• Basics of statistical models / machine learning (Linear and Logistic regression)
• Building a complete project - best practices