learn sql basics for data science specialization github

This specialization is a comprehensive suite of courses that will equip you with the skills and knowledge to navigate the world of large-scale datasets using SQL. 👉 Go to Modern Big Data Analysis with SQL Specialization This course is a great way to consolidate your learning and create a portfolio-worthy piece. You’ll develop a project proposal, perform exploratory analysis, develop metrics, and present your findings. The final course, SQL for Data Science Capstone Project, gives you the opportunity to apply everything you’ve learned in a real-world context. You’ll learn about Spark architecture, how to optimize Spark SQL, and how to build reliable data pipelines. This course is unique as it focuses on distributed computing using Apache Spark, a widely used open-source standard for working with large datasets. The third course, Distributed Computing with Spark SQL, is all about “big data”.

You’ll learn how to clean data, perform optimal JOIN operations, and segment and analyze data using windowing functions.Īs the name implies, this course also covers A/B testing, a popular method, widely used in industry, for finding the best version of a product or service. The second course, Data Wrangling, Analysis and AB Testing with SQL, allows you to apply the SQL skills you’ve learned to real data science case studies. It’s comprehensive, easy to follow, and provides real-world programming assignments for practice.

This course is highly rated with a score of 4.6 out of 5, and it’s easy to see why. You’ll learn how to write both simple and complex queries, work with different types of data, and create new tables. The first course, SQL for Data Science, is designed for beginners and will give you a solid foundation in SQL. 👉 Go to Learn SQL Basics for Data Science Specialization

Learn sql basics for data science specialization github