Enroll Course: https://www.coursera.org/learn/data-wrangling-analysis-abtesting
If you’re looking to elevate your data science skills, the course “Data Wrangling, Analysis and AB Testing with SQL” on Coursera is an excellent choice. This comprehensive course bridges the gap between basic SQL knowledge and real-world data science applications by focusing on complex case studies and authentic datasets. It’s perfect for those who have some familiarity with SQL and want to deepen their understanding of data cleaning, analysis, and hypothesis testing.
The course covers essential topics such as converting various timestamp formats, selecting optimal JOIN strategies for different inquiries, and cleaning datasets through deduplication, quality checks, and null handling. One of the standout modules is on creating trustworthy datasets, which emphasizes understanding data types and manipulating raw data into analysis-ready tables. You’ll also learn how to segment data effectively for detailed analysis.
A significant highlight is the practical case study on AB testing. This module provides hands-on experience in setting up A/B tests, applying hypothesis testing, and interpreting results—skills that are highly valuable for data-driven decision making in business settings. The course’s structure ensures you develop a strategic approach to answering vague or ambiguous data questions, preparing you for real-world challenges.
I highly recommend this course for aspiring data scientists, analysts, or anyone interested in applying SQL skills to practical data problems. The combination of theory, case studies, and hands-on exercises makes it a valuable investment in your data career.
Enroll Course: https://www.coursera.org/learn/data-wrangling-analysis-abtesting