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Over 100 results for "performance+tuning+and+database+optimization"
Corporate Finance Institute
Skills you'll gain: Databases, SQL, Database Design, Data Warehousing, Database Administration, Database Application, Database Theory, Statistical Programming
Skills you'll gain: Java Programming
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Computing, SQL, Databases, Data Analysis, Big Data, Cloud Platforms, Data Management, Exploratory Data Analysis, Cloud Storage, Data Model, Machine Learning, Applied Machine Learning, Human Learning, Data Visualization, Machine Learning Algorithms, Database Theory
Coursera Project Network
Skills you'll gain: Business Intelligence
Corporate Finance Institute
Skills you'll gain: Business Intelligence, Data Management, Data Warehousing
Stanford University
Skills you'll gain: Algorithms, Computer Programming, Problem Solving, Theoretical Computer Science, Data Structures, Graph Theory, Critical Thinking, Programming Principles, Computational Thinking, Mathematical Theory & Analysis
Skills you'll gain: Data Analysis, Extract, Transform, Load, Microsoft Excel, Power BI
Universidad Nacional Autónoma de México
Stanford University
Skills you'll gain: Algorithms, Data Structures, Mathematics, Theoretical Computer Science, Computer Programming, Graph Theory, Problem Solving, Computational Thinking, Critical Thinking, Software Engineering
In summary, here are 10 of our most popular performance+tuning+and+database+optimization courses
- Power Query Fundamentals:Â Corporate Finance Institute
- Introduction to Databases for Back-End Development:Â Meta
- Java Database Connectivity (JDBC) Introduction:Â LearnQuest
- From Data to Insights with Google Cloud:Â Google Cloud
- Database Creation and Modeling using MYSQL Workbench:Â Coursera Project Network
- SQL Fundamentals for Data Analysts:Â Corporate Finance Institute
- Data Warehouse Fundamentals:Â IBM
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming:Â Stanford University
- Harnessing the Power of Data with Power BI:Â Microsoft
- Designing data-intensive applications: Universidad Nacional Autónoma de México