- Databases
- SQL
- Data Management
- Big Data
- Data Analysis
- Distributed Computing Architecture
- Problem Solving
- Data Analysis Software
- Business Analysis
Learn SQL Basics for Data Science
Completed by Nathan John Torento
March 12, 2024
Approximately 2 months at 10 hours a week to completeNathan John Torento's account is verified. Coursera certifies their successful completion of University of California, Davis Learn SQL Basics for Data Science Specialization.
Course Certificates Completed
SQL for Data Science
Data Wrangling, Analysis and AB Testing with SQL
Distributed Computing with Spark SQL
SQL for Data Science Capstone Project
What you will learn
Use SQL commands to filter, sort, & summarize data; manipulate strings, dates, & numerical data from different sources for analysis
Assess and create datasets to solve your business questions and problems using SQL
Use the collaborative Databricks workspace and create an end-to-end pipeline that reads data, transforms it, and saves the result
Develop a project proposal & select your data, perform statistical analysis & develop metrics, and present your findings & make recommendations
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
SQL for Data Science
University of California, Davis
Taught by: Sadie St. Lawrence
Completed by: Nathan John Torento by February 20, 2024
4 weeks of study, 3-5 hours/week
Data Wrangling, Analysis and AB Testing with SQL
University of California, Davis
Taught by: Katrina Glaeser Poole
Completed by: Nathan John Torento by March 4, 2024
4 weeks of study, 2-5 hours/week
Distributed Computing with Spark SQL
University of California, Davis
Taught by: Brooke Wenig & Conor Murphy
Completed by: Nathan John Torento by March 11, 2024
4 weeks of study, 2-5 hours/week
SQL for Data Science Capstone Project
University of California, Davis
Taught by: Don Noxon
Completed by: Nathan John Torento by March 12, 2024
4-5 weeks of study, 6-10 hours/week