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LinkedIn Learning

Master SQL for Data Science

via LinkedIn Learning

Overview

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SQL database skills are consistently among the most sought after in the world of data science. Master the skills needed for data science project specialists and develop a solid foundation of knowledge for working with SQL engineers.
  • Learn how your SQL knowledge applies to data science projects.
  • Construct an expanded skill set optimized for data science work.
  • Expand your knowledge into related toolsets and platforms.

Syllabus

Courses under this program:
Course 1: SQL: Data Reporting and Analysis
-Get the data you need for analysis and reporting by writing your own SQL code. Learn how to write basic SQL queries, sort and filter data, and join results from different tables.

Course 2: Intermediate SQL: Data Reporting and Analysis
-Take your data skills to the next level with SQL by learning how to write code for more complex queries to report, edit, insert, and delete data from your database.

Course 3: SQL Hands-On Practice: Solve Business Problems
-Practice solving real business problems in SQL in this hands-on, interactive course with coding challenges in CoderPad.

Course 4: Advanced SQL for Data Scientists
-Learn advanced techniques for analyzing large data sets with SQL. Find out how to build sophisticated data models, optimize queries, extend SQL with user-defined functions, and more.

Course 5: Advanced SQL for Query Tuning and Performance Optimization
-Learn how to analyze query execution plans and use data modeling strategies to boost query performance.

Course 6: Advanced SQL for Data Science: Time Series
-Learn how to model time series data and apply advanced analysis techniques using SQL.

Taught by

Bill Weinman, Scott Simpson, Emma Saunders, Dan Sullivan, Ben Sullins and Ben Sullins

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