Enroll Course: https://www.coursera.org/learn/data-wrangling-analysis-abtesting
In today’s data-driven world, mastering SQL is essential for anyone aspiring to carve a niche in data science. Coursera’s course titled ‘Data Wrangling, Analysis and AB Testing with SQL’ expands on the skills introduced in ‘SQL for Data Science’ by offering hands-on experience through real-world data science case studies. This course is tailored for learners keen to deepen their understanding of SQL and hone their analytical abilities.
### Course Overview
The course dives into four increasingly complex data science inquiry case studies, enabling students to apply and refine the SQL skills they acquired earlier. Participants will learn crucial techniques such as converting timestamps into common formats, executing optimal JOINs, and performing data cleaning tasks, such as deduplication and handling missing values. Moreover, the course covers segment analysis, which allows students to draw more targeted insights from data.
### Detailed Syllabus Breakdown
1. **Data of Unknown Quality**: This initial module focuses on creating trustworthy analyses from unreliable datasets. Learners will develop methods to identify and address missing data, coalesce nulls, and derive new metrics from ambiguous questions. This foundational knowledge is pivotal for becoming proficient in nuanced data handling.
2. **Creating Clean Datasets**: Here, you will explore various data types and learn to manipulate unfiltered data into structured tables. You will grasp the importance of data warehousing in segregating production and analytical databases. The skills gained in this module will empower you to build your own reliable datasets for analysis.
3. **SQL Problem Solving**: This module maps out diverse SQL joins, catering to various question types. It emphasizes practical exercises in answering diverse data questions—ranging from vague inquiries to complex interpretations—equipping students with a robust strategy for responding confidently to data-related challenges.
4. **Case Study: AB Testing**: The course culminates in a practical AB testing module where students set up their own testing framework. This component reinforces hypothesis testing principles, allowing you to evaluate user behavior metrics effectively. It solidifies your SQL expertise as you navigate through the intricacies of AB testing.
### Recommendation
Overall, this course is a must for those looking to solidify their SQL knowledge and delve deeper into the realm of data analysis. The blend of theoretical and practical learning ensures that participants emerge not just knowledgeable but also capable of tackling real-world data problems with confidence. Whether you’re a data analyst, a business intelligence professional, or someone new to data science, this course will significantly enhance your analytical capabilities.
Enrolling in ‘Data Wrangling, Analysis and AB Testing with SQL’ on Coursera will undoubtedly bring you one step closer to mastering the vital skills needed in today’s data landscape.
Enroll Course: https://www.coursera.org/learn/data-wrangling-analysis-abtesting